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» Tracking objects in video using motion and appearance models
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CVPR
2009
IEEE
15 years 1 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
14 years 8 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
CVPR
2006
IEEE
14 years 8 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
14 years 22 days 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
14 years 4 days 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