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Moving object tracking in video
Proceedings 29th Applied Imagery Pattern Recognition Workshop, 2002The advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compared to still images, video sequences provide more information about how objects and scenarios change over time.
Yiwei Wang +2 more
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2008
A new approach of tracking objects in image sequences is proposed, in which tracking is seen as a binary classification problem. For each incoming image frame, a likelihood image for the object is created according to the classification results of pixels by a Adaboost feature classifier.
Jingping Jia, Yanmei Chai, Feizhou Zhang
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A new approach of tracking objects in image sequences is proposed, in which tracking is seen as a binary classification problem. For each incoming image frame, a likelihood image for the object is created according to the classification results of pixels by a Adaboost feature classifier.
Jingping Jia, Yanmei Chai, Feizhou Zhang
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Video-Game and Conventional Tracking
Perceptual and Motor Skills, 1981The performance evaluarion tests for environmental research (PETER) program is a series of studies involving extended practice on a variety of task. One of these tasks is a compensatory tracking task which requlres the subject to keep a moving circle centered in a horizontal track by making approptlate left-right manipulations of a control stick ( 1 ) .
R S, Kennedy, A C, Bittner, M B, Jones
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Multi-Object Tracking in Video
Real-Time Imaging, 1999This paper reports on tracking of multiple objects using color histogram backprojection and motion cues. Four tasks which facilitate this are discussed. The first is an adaptive color histogram backprojection (which builds upon the works of Swain and Ballard) and its application to tracking of multiple objects in video sequences.
Johnson I. Agbinya, David Rees
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Proceedings of the 12th annual ACM international conference on Multimedia, 2004
Tracking superimposed text moving across several frames of a video is relevant for exploiting its temporal occurrence for effective video content indexing and retrieval. In this paper, an approach is presented that automatically detects, localizes and tracks text appearing in videos.
Julinda Gllavata +2 more
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Tracking superimposed text moving across several frames of a video is relevant for exploiting its temporal occurrence for effective video content indexing and retrieval. In this paper, an approach is presented that automatically detects, localizes and tracks text appearing in videos.
Julinda Gllavata +2 more
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2017 IEEE Third International Conference on Multimedia Big Data (BigMM), 2017
In this paper, we aim to identify and track people in a given video footage. We perform face detection and recognition, and then use a block matching algorithm to continuously track each detected face. We develop a simple, intuitive, user-friendly interface that enables search by name or image that is useful and convenient for people identification and
Sneha Vasisht, Min Chen 0009
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In this paper, we aim to identify and track people in a given video footage. We perform face detection and recognition, and then use a block matching algorithm to continuously track each detected face. We develop a simple, intuitive, user-friendly interface that enables search by name or image that is useful and convenient for people identification and
Sneha Vasisht, Min Chen 0009
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Fast Tracking for Video Target Tracking
Applied Mechanics and Materials, 2013Fast video tracking can result in irregular sampling tracking problem. This paper transforms the irregular sampling measurement to the time-varying parameters and develops a model with adaptive parameters on line by the autocorrelation function of Markov random processing.
Xue Bo Jin, Jing Jing Du, Jia Bao
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2008
The UAV person tracking task for this evaluation was particularly difficult because of large, complicated, and low-quality videos, with only small images of people. We found that our best results were obtained using a combination of intensity thresholding (for IR imagery), motion compensation, interest-point detection and correspondence, and pattern ...
Andrew Miller +3 more
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The UAV person tracking task for this evaluation was particularly difficult because of large, complicated, and low-quality videos, with only small images of people. We found that our best results were obtained using a combination of intensity thresholding (for IR imagery), motion compensation, interest-point detection and correspondence, and pattern ...
Andrew Miller +3 more
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Appearance Tracking for Video Surveillance
2003We present an algorithm which tracks multiple objects for video surveillance applications. This algorithm is based on a Bayesian framework and a Particle filter. In order to use this method in practical applications we define a statistical model of the object appearance to build a robust likelihood function.
Xavier Varona +3 more
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A Real-Time Video Tracking System
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980Object identification and tracking applications of pattern recognition at video rates is a problem of wide interest, with previous attempts limited to very simple threshold or correlation (restricted window) methods. New high-speed algorithms together with fast digital hardware have produced a system for missile and aircraft identification and tracking
Alton L. Gilbert +4 more
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