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» Tracking objects in video using motion and appearance models
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CVPR
2009
IEEE
16 years 4 months ago
Learning color and locality cues for moving object detection and segmentation
This paper presents an algorithm for automatically detecting and segmenting a moving object from a monocular video. Detecting and segmenting a moving object from a video with limit...
Feng Liu (University of Wisconsin-Madison), Michae...
CVPR
2005
IEEE
15 years 11 months ago
Appearance-Guided Particle Filtering for Articulated Hand Tracking
We propose a model-based tracking method, called appearance-guided particle filtering (AGPF), which integrates both sequential motion transition information and appearance informa...
Wen-Yan Chang, Chu-Song Chen, Yi-Ping Hung
79
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CVPR
2006
IEEE
15 years 11 months ago
Robust Visual Tracking Using Case-Based Reasoning with Confidence
The paper describes a simple but robust framework for visual object tracking in a video sequence. Compared with the existing tracking techniques, our proposed tracking technique h...
Zhiwei Zhu, Wenhui Liao, Qiang Ji
ACCV
2006
Springer
15 years 3 months ago
Object Tracking Using Background Subtraction and Motion Estimation in MPEG Videos
We present a fast and robust method for moving object tracking directly in the compressed domain using features available in MPEG videos. DCT domain background subtraction in Y pla...
Ashwani Aggarwal, Susmit Biswas, Sandeep Singh, Sh...
AUSAI
2004
Springer
15 years 2 months ago
A Stochastic Approach to Tracking Objects Across Multiple Cameras
This paper is about tracking people in real-time as they move through the non-overlapping fields of view of multiple video cameras. The paper builds upon existing methods for trac...
Anthony R. Dick, Michael J. Brooks