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» Tracking multiple objects in non-stationary video
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ICPR
2006
IEEE
14 years 8 months ago
An integrated Monte Carlo data association framework for multi-object tracking
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
CVIU
2007
112views more  CVIU 2007»
13 years 7 months ago
Pedestrian detection and tracking in infrared imagery using shape and appearance
In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance cues. A layered representation is first intr...
Congxia Dai, Yunfei Zheng, Xin Li
ICRA
2008
IEEE
297views Robotics» more  ICRA 2008»
14 years 2 months ago
Fast 3D reconstruction of human shape and motion tracking by parallel fast level set method
— This paper presents a parallel algorithm of the Level Set Method named the Parallel Fast Level Set Method, and its application for real-time 3D reconstruction of human shape an...
Yumi Iwashita, Ryo Kurazume, Kenji Hara, Seiichi U...
PCM
2004
Springer
163views Multimedia» more  PCM 2004»
14 years 1 months ago
Sat-Cam: Personal Satellite Virtual Camera
We propose and describe a novel video capturing system called Sat-Cam that can observe and record the users’ activity from effective viewpoints to negate the effects of unstead...
Hansung Kim, Itaru Kitahara, Kiyoshi Kogure, Norih...
CVPR
2005
IEEE
14 years 9 months ago
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Ying-li Tian, Max Lu, Arun Hampapur