motion detection


A stretchable carbon nanotube strain sensor for human- motion detection
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Devices made from stretchable electronic materials could be incorporated into clothing or attached directly to the body. Such materials have typically been prepared by engineering conventional rigid materials such as silicon, rather than by developing new materials. Here

Motion detection based on frame difference method
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Recent research in computer vision has increasingly focused on building systems for observing humans and understanding their look, activities, and behavior providing advanced interfaces for interacting with humans, and creating sensible models of humans

Spatial filtering precedes motion detection
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WHEN we perceive motion on a television or cinema screen, there must be some process that allows us to track moving objects over time: if not, the result would be a conflicting mass of motion signals in all directions. A possible mechanism, suggested by studies of motion

Motion detection techniques using optical flow
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Motion detection is very important in image processing. One way of detecting motion is using optical flow. Optical flow cannot be computed locally, since only one independent measurement is available from the image sequence at a point, while the flow velocity has

Motion detection in goldfish investigated with the optomotor response is color blind
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The perception of motion is one of the major abilities of animal visual systems. Additionally, most animals are capable of color discrimination. Are the same photoreceptor types used for both visual tasks In early studies, the optomotor response elicited by a rotating drum with

A delay-line based motion detection chip
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Inspired by a visual motion detection model for the ra. bbit retina and by a computational architecture used for early audition in the barn owl, we have designed a chip that employs a correlation model to report the one-dimensional field motion of a scene in real time. Using Microscopic illumination of two neighbouring photoreceptor cells within a single ommatidium induces a strong sequence-dependent response in a directionally selective, motion – sensitive neuron. The response is characterized by a strong facilitation in the preferred

Motion detection in the presence and absence of background motion in an Anolis lizard
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Anolis lizards respond to a moving object viewed in the periphery of their visual field by turning their eye to fixate the object with their central fovea. This paper describes the relative effectiveness of different patterns of motion of a small black lure in eliciting these eye

Motion and form coherence detection in autistic spectrum disorder: Relationship to motor control and 2: 4 digit ratio
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Children with autistic spectrum disorder and controls performed tasks of coherent motion and form detection , and motor control. Additionally, the ratio of the 2nd and 4th digits of these children, which is thought to be an indicator of foetal testosterone, was measured

Motion detection , letter position encoding, and single word reading
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Recent research has shown that many people with dyslexia find it unusually difficult to detect flickering or moving visual stimuli, consistent with impaired processing in the magnocellular visual stream. Nonetheless, it remains controversial to suggest that reduced visual sensitivity

Human motion detection and tracking for video surveillance
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An Automated Video Surveillance system is presented in this paper. The system aims at tracking an object in motion and classifying it as a Human or Non-Human entity, which would help in subsequent human activity analysis. The system employs a novel combination

Qualitative target motion detection and tracking
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To detect and track moving targets using image information exclusively obtained from a vision system on-board an autonomous robotic vehicle, we present a comprehensive qualitative approach which allows for (a) determination of vehicle motion ,(b) qualitative

An a contrario Decision Framework for Region-Based Motion Detection
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The aim of motion detection is to decide whether a given part of an image belongs to a moving object or to the static background. This paper proposes an automatic decision rule for the detection of moving regions. The proposed framework is derived from a perceptual

Affine models for image matching and motion detection
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A model is developed for detecting the displacement field in spatio-temporal image sequences that allows for affine shape deformations of corresponding spatial regions and for affine transformations of the image intensity range. This model includes the blockWe propose a joint optical flow and principal component analysis (PCA) method for motion detection . PCA is used to analyze optical flows so that major optical flows corresponding to moving objects in a local window can be better extracted. This joint approach can efficiently

The computational basis of an identified neuronal circuit for elementary motion detection in dipterous insects
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Based on comparative anatomical studies and electrophysiological experiments, we have identified a conserved subset of neurons in the lamina, medulla, and lobula of dipterous insects that are involved in retinotopic visual motion direction selectivity. Working from the

Fast Human Detection Using Motion Detection and Histogram of Oriented Gradients.
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This paper presents a real-time Human detection algorithm based on HOG (Histograms of Oriented Gradients) features and SVM (Support Vector Machine) architecture. Motion detection is used to extract moving regions, which can be scanned by sliding windows;

Smart motion detection system using raspberry pi
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In surveillance, CCTV camera is costly because of the use of computer. It reserves too much space for continues recording and also require manpower to detect the unauthorized Activity. But compared to the existing system Raspberry pi system is much cheaper with Form and motion perception rely upon the visual systems capacity to segment the visual scene based upon local differences in luminance or wavelength. It is not clear if polarization contrast is a sufficient basis for motion detection . Here we show that crayfish optomotor

The dynamic retina: Contrast and motion detection for active vision
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This paper presents an efficient, biologically-inspired early vision architecture, the dynamic retina, that is well-suited to highly active and responsive vision platforms. The dynamic retina exploits normally undesirable camera motion as a necessary step in detecting image

Motion detection mechanisms
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This review discusses theoretical, behavioral, and physiological studies of motion mechanisms. The three main schemes for motion detection (space-time correlation, orientation, and gradients) are contrasted using experimental data from insects, rabbits, cats

Implementation of a motion detection system
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In todays competitive environment, the security concerns have grown tremendously. In the modern world, possession is known to be 9/10ths of the law. Hence, it is imperative for one to be able to safeguard ones property from worldly harms such as thefts, destruction of

Overview and benchmarking of motion detection methods
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P.-M. JODOIN, S. PI RARD, Y. WANG, and M. VAN DROOGENBROECK. Background Modeling and Foreground Detection for Video Surveillance. In T. Bouwmans, F. Porikli, B. Hoferlin, and A. Vacavant, editors, Background Modeling and Foreground Detection for Video

Three theories of stroboscopic motion detection
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The three theories derive from three different paradigms. Suprathreshold judgements of perceived quality of motion in multi-flash displays are modelled by space~ time Fourier analysis of the motion stimulus. Stroboscopic motion is perceived as being different from real

Spatial and temporal summation in the detection of motion in stochastic random dot displays
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Background We describe a series of psychophysical observations on the detection and discrimination of motion signals presented in a field of dynamic visual noise. The target (see below) was designed so that judgements would have to be based on motion cues, in the

Designing evaluation methodologies: the case of motion detection
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Motion detection is a fundamental processing step in the majority of visual surveillance algorithms. While an increasing number of authors are beginning to perform quantitative comparison of their algorithms, most do not address the complexity and range of the issues The importance of stimulus qualities such as orientation, motion and luminance in blindsight are well known but their cortical basis has been much less explored. We therefore studied the performance of two blindsighted hemianopic subjects (GY and MS), in a task in whichA novel motion -adaptive deinterlacing algorithm with edge-pattern recognition and hybrid motion detection is introduced. The great variety of video contents makes the processing of assorted motion , edges, textures, and the combination of them very difficult with a single

Simultaneous motion detection and background reconstruction with a conditional mixed-state Markov random field
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In this work we present a new way of simultaneously solving the problems of motion detection and background image reconstruction. An accurate estimation of the background is only possible if we locate the moving objects. Meanwhile, a correct motion detection is

Motion Detection and Tracking using Background Subtraction and Consecutive Frames Difference Method
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Recently security concerns have grown tremendously, it is important for all to be able to safeguard their property from worldly harms such as thefts, destruction of property etc. As the technology is widely growing in modern world, the methodologies used by thieves and

An efficient algorithm for motion detection based facial expression recognition using optical flow
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One of the popular methods for recognition of facial expressions such as happiness, sadness and surprise is based on deformation of facial features. Motion vectors which show these deformations can be specified by the optical flow. In this method, for detecting

Independent 3D Motion Detection through Robust Regression in Depth Layers.
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This paper presents a methodology for the detection of objects that move independently of the observer in a 3D dynamic environment. Independent 3D motion detection is formulated as a problem of robust regression applied to visual input acquired by a binocular, rigidly

Motion detection based on multi frame video under surveillance system
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In this paper a series of algorithm has been formed to track the feature of motion detection under surveillance system. In this paper a pixel variant plays a vital role in detection of moving frame of a particular clip. If there is a little bit motion in a file then it is detected very

Qualitative motion detection and tracking of targets from a mobile platform
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The problem of understanding scene dynamics is to find consistent and plausible 3-D interpretations for any change observed in the 2-D image sequence. Due to the motion of the Autonomous Land Vehicle (ALV), stationary objects in the scene generally do not

Real-time accelerometer signal processing of end point detection and feature extraction for motion detection
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A simple signal processing algorithm is proposed for a novel input device developed for the elderly. The device is conceptually based on a pen, since it is one of the most familiar communication tools for the elderly and is closely tied to Hand Writing Recognition. WeOptimizing the balance between handoff quality and power consumption is a great challenge for seamless mobile communications in wireless networks. Traditional proactive schemes continuously monitor available access networks and exercise handoff. Although

Adaptive motion detection algorithm using frame differences and dynamic template matching method
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There is many ways to detect the moving object in term of image motion detection . A common method that is used to detect moving object is done by comparing two or more image sequence. Comparing image by analyzing all of image pixel is known as frame

Real-time on-line video object segmentation based on motion detection without background construction
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A novel scheme for real-time on-line video object segmentation without background construction is presented. The proposed method uses foreground extraction-based video object segmentation. Motion and gradient-variant information is used to quickly acquire a

Joanneum Research at TRECVID 2005-Camera Motion Detection .
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The TRECVID common feature annotation task does not include the annotation of camera motion ground truth. As the camera motion detection task is new in TRECVID 200 also no ground truth data from previous years has been available. However, for testing camera

Motion detection and path planning in dynamic environments
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Motion detection from mobile platforms is a challenging task. It requires precise position information, which is difficult in cluttered dynamic environments. We combine motion detection and position estimation using Expectation Maximization. To reduce the