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444
Detecting Moving Objects, Ghosts and Shadows in Video Streams
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2003
"... Abstract—Background subtraction methods are widely exploited for moving object detection in videos in many applications, such as traffic monitoring, human motion capture, and video surveillance. How to correctly and efficiently model and update the background model and how to deal with shadows are t ..."
Abstract
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Cited by 248 (24 self)
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Abstract—Background subtraction methods are widely exploited for moving object detection in videos in many applications, such as traffic monitoring, human motion capture, and video surveillance. How to correctly and efficiently model and update the background model and how to deal with shadows
Detection of Moving Cast Shadows for Object Segmentation
- IEEE Transactions on Multimedia
, 1999
"... To prevent moving shadows being misclassified as moving objects or parts of moving objects, this paper presents an explicit method for detection of moving cast shadows on a dominating scene background. Those shadows are generated by objects moving between a light source and the background. Moving ca ..."
Abstract
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Cited by 99 (0 self)
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cast shadows cause a frame difference between two succeeding images of a monocular video image sequence. For shadow detection, these frame differences are detected and classified into regions covered and regions uncovered by a moving shadow. The detection and classification assume plane background
Progressive search space reduction for human pose estimation
- In CVPR
, 2008
"... The objective of this paper is to estimate 2D human pose as a spatial configuration of body parts in TV and movie video shots. Such video material is uncontrolled and extremely challenging. We propose an approach that progressively reduces the search space for body parts, to greatly improve the chan ..."
Abstract
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Cited by 226 (30 self)
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The objective of this paper is to estimate 2D human pose as a spatial configuration of body parts in TV and movie video shots. Such video material is uncontrolled and extremely challenging. We propose an approach that progressively reduces the search space for body parts, to greatly improve
Detection of Independently Moving Objects in Passive Video
- In Proceedings of Intelligent Vehicles Workshop
, 1995
"... We present two different approaches for the identification of independently moving objects (IMOs) and demonstrate their application to outdoor imagery taken from a moving autonomous vehicle. Both approaches involve image stabilization followed by an analysis of the stabilized image sequence. The sta ..."
Abstract
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Cited by 15 (6 self)
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by constraints on allowable values of the optic flow field after stabilization. 1 Introduction Autonomous navigation tasks such as collision avoidance and maneuvering among vehicles can be addressed by a system that can detect independently moving objects from a moving platform, identify them as to object type
Moving Object Detection and Tracking for Video Survelliance
"... Abstract—Moving object detection and Tracking has been widely used in diverse discipline such as intelligent transportation system, airport security system, video surveillance applications, and so on. This paper presents the moving object detection and tracking using reference Background Subtraction ..."
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Subtraction. In this method, we used Static camera for video and first frame of video is directly consider as Reference Background Frame and this frame is subtract from current frame to detect moving object and then set threshold T value. If the pixel difference is greater than the set threshold T
Moving Object Counting in Video Signals
"... Abstract — Object detection and tracking is important in the field of video processing. The increasing need for automated video analysis has generated a great deal of interest in object tracking algorithms. The input video clip is analyzed in three key steps: Frame extraction, Background estimation ..."
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Abstract — Object detection and tracking is important in the field of video processing. The increasing need for automated video analysis has generated a great deal of interest in object tracking algorithms. The input video clip is analyzed in three key steps: Frame extraction, Background estimation
Surveillance Video Retrieval Based on Moving Objects Detection
"... Abstract—In this article, we proposed a surveillance video retrieval method based on detection of moving objects and researched on key problems in surveillance video, such as moving objects detection, video segmentation, selection and description of key frames, and measurement of feature similaritie ..."
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Abstract—In this article, we proposed a surveillance video retrieval method based on detection of moving objects and researched on key problems in surveillance video, such as moving objects detection, video segmentation, selection and description of key frames, and measurement of feature
Motions of multiple objects detection based on video frames
, 2008
"... This paper introduces an intelligent system, which can be applied in the monitoring of vehicle speed using a single camera. The ability of motion tracking is extremely useful in many automation problems and the solution to this problem will open up many future applications. One of the most common p ..."
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problems in our daily life is the speed detection of vehicles on a highway. In this paper, a novel technique is developed to track multiple moving objects with their speeds being estimated using a sequence of video frames. Field test has been conducted to capture real-life data and the processed results
Moving Objects Detection and Image
"... The security involve have grown enormously in today’s competitive environment. In the modern world, ownership is known to be 9/10’ths of the law. Hence, it is necessary for people to protect one’s property from harms such as thefts, destruction of property, people with spiteful plan etc. Due to the ..."
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and monitoring. However, so far the technologies require large amount of memory to store the video. Therefore, we have developed a methodology to detect the motion in a video stream environment. Once a motion has been detected in the live stream, the software will activate a warning system and capture the frame
Moving Object Detection in Turbulence Degraded Video
, 2015
"... Abstract: Atmospheric turbulence causes blurring and geometrical distortions in images acquired from a long distance. It makes it difficult to detect moving objects due to both the irregular movements and deformations of the pixels. In this study, we propose a fast method to detect moving objects in ..."
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reference frame generation in registration stage. After warping the frames using the registration result GMM based background subtraction technique detects moving objects in stabilized frames. The experiments performed on common image sequences show that the proposed method detects moving objects faster
Results 1 - 10
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