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» Towards Benchmarking of Video Motion Tracking Algorithms
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MVA
2002
215views Computer Vision» more  MVA 2002»
13 years 5 months ago
Robust Tracking Algorithm Based on Color and Edge Distribution for Real-time Video Based Motion Capture Systems
This paper describes a robust tracking algorithm for real-time, video based motion capture systems. Conventional motion capture systems are unable to capture motion data in real t...
Yoshiaki Akazawa, Yoshihiro Okada, Koichi Niijima
ICPR
2008
IEEE
14 years 6 months ago
Detecting global motion patterns in complex videos
Learning dominant motion patterns or activities from a video is an important surveillance problem, especially in crowded environments like markets, subways etc., where tracking of...
Min Hu, Mubarak Shah, Saad Ali
ICIP
2004
IEEE
14 years 7 months ago
Simultaneous background and foreground modeling for tracking in surveillance video
We present a stochastic tracking algorithm for surveillance video where targets are dim and at low resolution. The algorithm builds motion models for both background and foregroun...
Jie Shao, Shaohua Kevin Zhou, Rama Chellappa
ISMAR
2007
IEEE
13 years 11 months ago
Feature Tracking for Mobile Augmented Reality Using Video Coder Motion Vectors
We propose a novel, low-complexity, tracking scheme that uses motion vectors directly from a video coder. We compare our tracking algorithm against ground truth data, and show tha...
Gabriel Takacs, Vijay Chandrasekhar, Bernd Girod, ...
ICMCS
2006
IEEE
194views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Object Tracking in Compressed Video with Confidence Measures
In this paper, a novel robust tracking algorithm in compressed video is proposed. Within the framework of video compression standards, we consider how to accurately estimate motio...
Lan Dong, Imad Zoghlami, Stuart C. Schwartz