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by Jean Gao, Akio Kosaka, Avinash C. Kak , 2002
"... A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments ..."
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A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments

Robust Online Appearance Models for Visual Tracking

by Allan D. Jepson, David J. Fleet, Thomas F. El-Maraghi , 2001
"... We propose a framework for learning robust, adaptive, appearance models to be used for motion-based tracking of natural objects. The approach involves a mixture of stable image structure, learned over long time courses, along with 2-frame motion information and an outlier process. An online EM-algor ..."
Abstract - Cited by 346 (4 self) - Add to MetaCart
We propose a framework for learning robust, adaptive, appearance models to be used for motion-based tracking of natural objects. The approach involves a mixture of stable image structure, learned over long time courses, along with 2-frame motion information and an outlier process. An online EM

Robust Object Tracking under Cluttered Environment

by Prashant Kumar, Rupak Chakraborty, Arup Sarkar
"... Abstract—In this paper we recommend a novel method for detecting and tracking objects in the presence of cluttered background such as movements of leaves of trees, under various types of occlusion (object to object and object to scene occlusion) and scale change of object (small or large object) in ..."
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tracking approach is applied to track the object of interest in all consecutive video frames. For checking superiority of this method we use it on different type of dataset: KTH and Own dataset. Key Terms—Frame differencing, Contour tracking, Average filter, cluttered background, object tracking.

Tracking the Small Object through Clutter with Adaptive Particle Filter @

by Yu Huang, Joan Llach
"... Cluttered background and occlusion cause large ambiguity in the tracking of video objects. When the object is small (like a soccer ball in broadcast game video signals), the ambiguity gets even more severe. In this paper, we propose an adaptive particle filter with effective proposal distribution to ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Cluttered background and occlusion cause large ambiguity in the tracking of video objects. When the object is small (like a soccer ball in broadcast game video signals), the ambiguity gets even more severe. In this paper, we propose an adaptive particle filter with effective proposal distribution

Object Tracking in Structured Environments for Video Surveillance Applications

by Junda Zhu, Student Member, Yuanwei Lao, Student Member, Yuan F. Zheng
"... Abstract—We present a novel tracking method for effectively tracking objects in structured environments. The tracking method finds applications in security surveillance, traffic monitoring, etc. In these applications, the movements of objects are constrained by structured environments. Therefore, th ..."
Abstract - Cited by 11 (3 self) - Add to MetaCart
. Experiments on some video surveillance sequences demonstrate the effectiveness and robustness of our approach for tracking object motions in structured environments. Index Terms—Distance transform, object tracking, particle filtering, structured environments, video surveillance. I.

Video Based Moving Object Tracking by Particle Filter

by unknown authors
"... Usually, the video based object tracking deal with non-stationary image stream that changes over time. Robust and Real time moving object tracking is a problematic issue in computer vision research area. Most of the existing algorithms are able to track only in predefined and well controlled environ ..."
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histogram-based color model is used to develop this observation system. Secondly, we describe a new approach for moving object tracking with particle filter by shape information. The shape similarity between a template and estimated regions in the video scene is measured by their normalized cross

Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Lifespans

by Yuan Li, Haizhou Ai
"... Tracking object in low frame rate video or with abrupt motion poses two main difficulties which conventional tracking methods can barely handle: 1) poor motion continuity and increased search space; 2) fast appearance variation of target and more background clutter due to increased search space. In ..."
Abstract - Cited by 81 (3 self) - Add to MetaCart
Tracking object in low frame rate video or with abrupt motion poses two main difficulties which conventional tracking methods can barely handle: 1) poor motion continuity and increased search space; 2) fast appearance variation of target and more background clutter due to increased search space

On the Tracking of Articulated and Occluded Video Object Motion

by Shiloh L. Dockstader, A. Murat Tekalp - Real-Time Imaging , 2001
"... This paper presents a novel approach to the tracking of multiple articulate objects in the presence of occlusion in moderately complex scenes. Most conventional tracking algorithms work well when only one object is tracked at a time. However, when multiple objects must be tracked simultaneously, sig ..."
Abstract - Cited by 14 (2 self) - Add to MetaCart
motion estimates, change detection information, and unobservable predictions to create accurate trajectories of moving objects. We implement this multi-feature mixing strategy using a modified Kalman filtering mechanism. The proposed technique is presented within the context of a video surveillance

Bayesian occupancy filtering for multitarget tracking: an automotive application

by Cédric Pradalier, Christian Laugier, Thierry Fraichard, Pierre Bessière - Journal of Robotics Research , 2006
"... Application Reliable and efficient perception and reasoning in dynamic and densely cluttered environments are still major challenges for driver assistance systems. Most of today’s systems use target tracking algorithms based on object models. They work quite well in simple environments such as freew ..."
Abstract - Cited by 43 (15 self) - Add to MetaCart
assessment in highly dynamic environments. This approach is called Bayesian occupancy filtering; it basically combines a four-dimensional occupancy grid representation of the obstacle state space with Bayesian filtering techniques. KEY WORDS—multitarget tracking, Bayesian state estimation, occupancy grid

Multi View Image Surveillance and Tracking

by James Black, Tim Ellis, Paul Rosin , 2002
"... This paper presents a set of methods for multi view image tracking using a set of calibrated cameras. We demonstrate how effective the approach is for resolving occlusions and tracking objects between overlapping and non-overlapping camera views. Moving objects are initially detected using backgroun ..."
Abstract - Cited by 61 (8 self) - Add to MetaCart
This paper presents a set of methods for multi view image tracking using a set of calibrated cameras. We demonstrate how effective the approach is for resolving occlusions and tracking objects between overlapping and non-overlapping camera views. Moving objects are initially detected using
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