weapon detection system




The automatic detection of cold steel weapons handled by one or multiple persons in surveillance videos can help reducing crimes. However, the detection of these metallic objects in videos faces an important problem: their surface reflectance under medium to high illumination conditions blurs their shapes in the image and hence makes their detection impossible.
The objective of this work is two-fold: (i) To develop an automatic cold steel weapon detection model for video surveillance using Convolutional Neural Networks(CNN) and (ii) strengthen its robustness to light conditions by proposing a brightness guided preprocessing procedure called DaCoLT (Darkening and Contrast at Learning and Test stages).
The obtained detection model provides excellent results as a cold steel weapon detector and as an automatic alarm system in video surveillance.

Concealed weapon detection using color image fusion
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3 to 7). The proposed algorithm can also be applied for detecting a concealed a detailed description of the people in the scene and any hidden weapons detected by the Z. Zhang, RS Blum, A region-based image fusion scheme for concealed weapon detection Proceedings of

Concealed weapon detection in a human body by infrared imaging
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Computing Research ISBN: 97881 8371 362 7 Yu-Wen Chang, Michael Johnson Portable Concealed Weapon Detection Using Millimeter Wave First online version published in June Dr. Mohamed Mansoor Roomi et.al, Detection of Concealed WeaponS in x The concealed weapon detection is one of the main applications in this category However, active structures have a number of advantages compared to passive structures in detection and imaging the 2a). Therefore, the receivers detect the Fourier transform of f(x,y), ie, F (fx,fy

Image processing analysis of sigmoidal Hadamard wavelet with PCA to detect hidden object
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Image processing analysis of sigmoidal Hadamard wavelet with PCA to detect JJ McCombe, et al., Clutter removal in the automatic detection of concealed weapons with late [17] EM Upadhyay and NK Rana, Exposure fusion for concealed weapon detection 2nd

Detection techniques for human safety from concealed weapon and harmful EDS
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Through above explained techniques, detection of concealed dangerous weapons and explosives chemical VK,Shandilya, Concealed weapon detection using image processing , International journal of Scientific Engineering, Volume Issue June2012

An automatic hybrid Approach to Detect Concealed Weapons Using Deep Learning
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as a ground-breaking technology for immediate detection of concealed weapons through scanning (17) imaging is commonly used in military night vision, target detection and surveillance BOF) and convolutional neural network for non- weapon and weapon pictures as dataset

Intelligent security system detects the hidden objects in the smart grid
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incorporated along with support vector machines to build better classifiers to detect concealed weapons Figure 3. Images fusion dataset of concealed weapon detection algorithm based on analysis of DWT levels decomposing to detect concealed weapon hidden underneath

Design of a passive millimeter-wave imager used for concealed weapon detection BHU-2D-U
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develops, the passive mmW imaging technique is becoming an effective approach to detect dangerous objects under the clothes, such as concealed weapons or plastic u and v which leads to a rectangular FOV fitting for the application of concealed weapon detection

Application of Artificial Intelligent For Armour Vehicle Detection Using Digital Image Processing For Aerial Application
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I. INTRODUCTION Automatic target recognition (ATR), which has been referred to as weapon vision, is After initial detection a detailed search is executed using Fourier Transform. Then, a predefined feature is computed to detect the image boundaries using Hough Transform

Weapon Detection
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Figure 17 (on the right): False detection of handholding gesture in one of previous frames for soldier in the center of the More detailed information about scanning of the weapons and mobile scanning device is in different part of report called Device for weapon acquirement

TUNING IMAGE FUSION BASED ON THERMAL INFRARED IMAGE F OR CONCEALED WEAPON DETECTION
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confirmed to provide effective threat detection systems because they can effectively detect weapons hidden under 4- Detect the hidden object by using canny detection observer for operator-assisted weapon detection or inputted into an automatic weapon detection algorithmAdel Slamani e tal have discussed image enhancement for reliable detection and identification of weapons concealed under varying layers of clothing Hence fusion is an important tool to detect and recognize the person with a weapon underneath his clothing

Automatic Target Recognition For Armour Vehicle Using Digital Image Processing For Aerial Application
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I. INTRODUCTION Automatic target recognition (ATR), which has been referred to as weapon vision, is After initial detection a detailed search is executed using Fourier Transform. Then, a predefined feature is computed to detect the image boundaries using Hough Transform

DETECTION OF SUSPICIOUS ACTIVITY IN ATM USING DEEP LEARNING
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and DD Ferris Jr, Shape-descriptor-based detection of concealed weapons in millimeter H. Pourghassem, O. Sharifi-Tehrani, and M. Nejati, A novel weapon detection algorithm in J. Akhilomen, Data Mining Application for Cyber Credit-Card Fraud Detection System , in Proc

A survey on Image Fusion for CWD
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[37] They prototype device for concealed weapon detection using two cameras had the efforts to draw attention to combining visual and infrared imaging for concealed weapons detection KR Peschmann, and KR Mann, Methods and systems for the rapid detection of concealedfeatures like Shape context descriptor and Zernike moments to detect concealed weapons method performs satisfactorily and the future work involves classification of detected weapons Improving Weapon Detection in Single Energy X- Ray Images Through Pseudocoloringsecurity system based on object detection and face recognition for detecting weapons and unauthorized The detection rate of the system for object detection is 70% and for face Until now we have achieved success in weapon detection and identification and facial recognition inEDGE DETECTION METHODOLOGIES Edge detection makes use of differential operators to detect changes in the gradients of Concealed weapon Detection using X Ray all these edge detection techniques it is found that canny gives optimum edge detection .Following are

Design and Fabrication of an Image Processing Based Autonomous Weapon
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of the cases the environmental condi- tions have greater impact on the final detection https://www.icrc.org/en/document/report-icrc-meeting- autonomous- weapon systems26-28 reachingcriticalwill.org/resources/fact-sheets/critical- issues/7972-fully-autonomous- weaponsis the challenge of performing detection at a distance with high probability of detection and low probability of false alarm Survey of Image Processing Techniques Applied to the Enhancement and Detection of Weapons in MMW Concealed Weapon Detection Using Color Image

Bullets Defect Detection Based On Digital Image Processing Using Line Detection And Fuzzy Sets
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1. INTRODUCTION Bullet is a kind of weapons and ammunitions which have caliber 5 56% for defect type II (invisible defect) . Template matching detect bullet defect B. 201 Deteksi Kecacatan Peluru Berbasis Citra Digital Menggunakan Metode Modified Line Detection

A study of digital image processing in skin cancer diagnostics
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achieve this goal, feature extraction is considered as an essential- weapon to analyze an image The presence of up to six known colors must be detected white, red, light CONCLUSION The skin cancerous detection and diagnosis using image processing neural networks and

Survy of Methods and Techniques for Metal Detection
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system through investigation of the effect of different orientations as well as the effect of concealed weapons DWT Based Image Fusion for Concealed Weapon Detection A variety of approaches to concealed objects detection on the human body based on magnetic, acoustic or

Image Fusion
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SNR estimation Local histogram analysis Distance measure for detecting objects Bhattacharyya distance Color Image Fusion for Concealed Weapon Detection Page 23 high resolution natural color of visual image weapon detected by MMW/IR sensor Page 24

Measurement of the stereoscopic rangefinder beam angular velocity using the digital image processing method
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in Brno, Czech Republic . This project is focused on the research and development in the area of the weapons and fire control systems design (eg in the beginning of the motion and Zi is the observed object coordinate in the direction perpendicular to the detector plane in

Security Threats in Nigeria; Digital Image Processing As a Panacea
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Nigeria is estimated to host over 70 percent of about 8 million illegal weapons in West as part of a series of security recommendations generally intended to prevent or detect crime robbery cases, in which images of the offenders on CCTV aided their detection and subsequentThe Prewitt operator has been applied using Matlab was for detecting the sharpness of Dana R. Rauscher, and Michael P. Hartnett, Concealed Weapon Detection Program, Decision Automatic image shadow identification using LPF in homomorphic processing system Proc

Medical Image Fusion using Xilinx System Generator in FPGA
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International Journal of VLSI System Design and Communication Systems Volume.0 IssueNo. October-201 Pages: 0990-0993 For example, medical applications, remote sensing and concealed weapon detection

A Framework for Human Behavior Analysis Pattern from Insufficient Events
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In the image datasets the regions are invisible in the visual descriptions indicate the concealed weapons 1-4. G. Bhatnagar and QMJ Wu, Human visual system based framework for concealed weapon detection in Canadian Conf. on Computer and

CAR PLATE DETECTION SYSTEM
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as Remote Sensing (satellite images of earth surfaces to detect whether changes or sea surface tumor detection and blood sampling), and Military applications( aircraft tracking, automated guidance system and weapons control). According

Weapon Control system for an Autonomous Robot Using Image Processing and Artificial Neural Networks
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autonomous robot to track the enemy and control a robot arm with a fixed weapon to exactly REFERENCES Akhilendra Yadav, Gurleen Kaur, Akanksha Sharma, Microcontroller Based Open-Loop Speed Control System For Dc Jose M. Chaves-Gonzalez, Detecting skin in

Image processing for skin cancer features extraction
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To achieve this goal, feature extraction is considered as an essential- weapon to analyze an image appropriately So, early, fast and effective detection of skin cancer is paramount importance. If detected at an early stage, skin has one of the highest cure rates, and the most casesTo complete this goal, feature extraction is considered as an essential- weapon to analyze Teresa Mendonça, and Jorge S. Marques, Two Systems for the Detection of Melanomas Jason R. Hagerty, Using Adaptive Thresholding and Skewness Correction to Detect Gray Areas

Detecting hardware trojans inserted by untrusted foundry using physical inspection and advanced image processing
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our technique that there is a trade-off between the accuracy of detection and SEM So we are extending this work to detect hardware Tro by comparing GDSII layout with http://www. businessinsider.com/navy- chinese-microchips- weaponscould-have-been-shut-off-2011-6 3Luckily, most weapon systems have a typical feature of optical sight which resembles with camera lens, so In camera detection section, we cam is interfaced with personal computer are utilized by considering features like radius of lens, size, shape etc to detect camera in

Evaluation of hardware implementation of the infrared image enhancement algorithm
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Navigation and Naval Weapons Division, Polish by subsequent procedure in the algorithm (eg identified as edges at the edge detection step) thus by the address of a memory cell in which the number of detected instances is

A hybrid intelligent system for automated pomegranate disease detection and grading
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The results showed that SVM could effectively detect and classify these disease spots to an accuracy which will describe behavior of the system Fuzzy Logic is a good weapon to solve CONCLUSION In this paper, an automated system for the disease detection and grading in

Detection of Gender Using Digital Forensic
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Fingerprints are found near crime sites, on weapons in excavated things etc This was one of the parameters that can be used for gender detection . Another unique parameter is ridge density For example: A killer leave their fingerprints on the suspected murder weapon

MULTIMEDIA SECURITY SPOOFING OF DIGITAL IMAGE FORENSICS-3D FACE MASK
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attainable facial masks can pose a serious threat to 2D face recognition systems and LBP is a powerful weapon to eliminate it This paper is developed in order to detect the illegal access on face Local Binary Pattern (ELBP) algorithm which performs spoofing detection

REMEDY HUE CHANGING OF CONTRAST IMAGE USING IMAGE PROCESSING ANALYSIS
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and can enhance the result image by developing hybrid system of image and Multi Scale Retinex image Enhancement for Concealed Weapon Detection Indonesian Journal International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), pp

Visual-centric surveillance networks and services [Guest Editorial]
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limitations of such systems in regard to the number and type of detected events as Finally, in the article Imaging for Concealed Weapon Detection H.-M. Chen, S. Lee, RM Rao MA Slamani, and PK Varshney present solutions to the problem of detecting concealed weapons

Millimetre wave imaging for concealed target detection
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associated with a certain target are extracted and used for identification, but this technique has an issue of high false alarm rate xxi Page 25. 7-B Imager system parametres summary CW Continuous Wave CWD Concealed Weapon Detection EBG Electromagnetic Band Gap

A Deep Learning Based Approach to Detect Suspicious Weapons
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But there are still a large number of dangerous and illegal weapons whose possession by any individual can of our project is that there is no possible solution right now to detect any weapon which is Knowledge- assisted semantic video object detection . IEEE Transactions on

Multistatic millimeter-wave imaging by multiview portable camera
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measurements for one and two- dimensional (2D) effective apertures for concealed weapon detection applications example, the handle and blade of the knife can be easily detected by simple The system was also calibrated with 3 extra images taken with a known displacement

New improvements to millimeter-wave body scanners
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example, automatic threat detection software can be used to detect concealed threats explosive detection on personnel using a wideband holographic millimeter-wave imaging system and TE Hall, Cylindrical millimeter-wave imaging technique for concealed weapon detection

Imagebased object detection and identification
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It is also very important for assisting pilots, tanker operators, and shooters to detect and It is also used to reacquire targets when used on unmanned lethal weapon systems such as missiles using face detection and principal component analysis technique (Zehang et al)below indicates that motion objects can be detected as well as the number of object detected can be of analysis for multi- camera motion detection can facilitate the Malaysian Army to detect the enemy Z. Xue and RS Blum, Concealed Weapon Detection Using Color Imageresolution camera is chosen, the system can be made to detect spots of McMakin, TE Hall, Three-dimensional millimeter-wave imaging for concealed weapon detection , IEEE Transactions Mark Karpovsky, An Approach for Error Detection and Error Correction in Distributed

Literature Review: Detection of Image Splicing Forgery
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Figure 5: Re-sampled image : Launching of Missile weapon by Iranian military motion blur estimation based on image gradients can also be used to detect possible irregularities pioneers of the multi-resolution Weber law descriptors (WLD) based image forgery detection methodinfrared and visible images can be used to aid navigation, concealed weapon detection and surveillance transforma- tion, consistent with the fact that the human visual system processes light As a result, image enhancement [19], edge detection [20], and image restoration [21

Markov random fields (MRF)-based texture segmentation for road detection
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implemented an infrared battlefield simulation to test infrared weapons (Zhao et al.) were normalised to a uniform length after extraction and a neighbourhood system with 10 The paper considers road detection in panchromatic images for traffic observation from airplane

Active sparse-aperture millimeter-wave imaging using digital correlators
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imagery of buried landmines and unexploded ordnances , concealed weapons , and and GD Boreman, Millimeter wave imaging system for land mine detection Applied Optics RM Rao, MA Slamani, and PK Varshney, Imaging for concealed weapon detection : a tutorialand solve possible bottlenecks in detection speed and recognize important factors contributing to the overall detection quality this research work:- 1) Create a neural network that can detect the weapons like gun 4) Detect the weapon as early as possible and raise the alarm

Human and Robotic Fish Interaction Controlled Using Hand Gesture Image Processing
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is the capture of the target object and recording of frames to detect the background of of an aquarium, robotic fishes, raspberry Pi, cameras, RF TX, object- detection algorithm (color associates of the dynamic stabilization system in the Busan Defense Weapon Research Institute

of Applications of A Proposed Design of Digital Camera System Fitted on Tractor used for image processing techniques employing IOT, ML AI Tools using
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tools to increase throughput and reduce cost arising from human experts in detecting the plant on different disease classification technique that can be used for plant leaf disease detection . The was used for image segmentation which plays an important role to detect disease in

IC printed mark quality inspection algorithms
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industry. IC industry is also the important topic and weapon to enhance our industry and to compete in worldwide market much. Proper threshold values can increase the detection accuracy and decrease false alarm and mis- detection . The

Bag of words based surveillance system using support vector machines
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17]. 4.2 Reducing the Matching Outliers and Locating Fire Weapons Locating the weapon coordinates is an important factor in surveillance systems as the automatic detection helps locate the weapons . When

Numerical study on structural health monitoring for unmanned aerial vehicle
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Unmanned platforms are the emerging lethal and non-lethal weapons of choice and have transformed the way captured from camera, which is transmitted to the algorithm in order to detect the modification 12] Svensson, M., Self-organizing maps for automatic fault detection in a Ranganathan, and Hemprasad Patil A Selection Method for Computing the Ensemble Size of Base Classi fi er in Multiple Classi fi er System 378 Arifa Shikalgar and Shefali Sonavane Threat Detection with Facial Expression and Suspicious Weapon

Automatic Detection System to the Sticky Bomb
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height of the Cold War, where East German border patrols used inspection mirrors to check for weapons 20 Raed Majeed et al.: Automatic Detection System to the Sticky Bomb saved images in database to detect any new attached objects to the vehicle, the system alarm to the