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ICIP
2006
IEEE
14 years 9 months ago
Model-Free, Statistical Detection and Tracking of Moving Objects
A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need an...
Mark Ross
ROBOCUP
2007
Springer
208views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
3D Tracking by Catadioptric Vision Based on Particle Filters
This paper presents a robust tracking system for autonomous robots equipped with omnidirectional cameras. The proposed method uses a 3D shape and color-based object model. This all...
Matteo Taiana, José António Gaspar, ...
CVPR
2010
IEEE
14 years 1 months ago
Multi-Target Tracking by On-Line Learned Discriminative Appearance Models
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
Cheng-Hao Kuo, Chang Huang, Ram Nevatia
ICPR
2006
IEEE
14 years 1 months ago
A Pixel-wise Object Tracking Algorithm with Target and Background Sample
In this paper, we present a clustering-based tracking algorithm for non-rigid object. Non-rigid object tracking is a challenging task because the target often appears as a concave...
Chunsheng Hua, Haiyuan Wu, Qian Chen, Toshikazu Wa...
AMDO
2006
Springer
13 years 11 months ago
Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models
The ability to detect and track human heads and faces in video sequences is useful in a great number of applications, such as human-computer interaction and gesture recognition. Re...
Fadi Dornaika, Javier Orozco, Jordi Gonzàle...