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» Detection of abandoned objects in crowded environments
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CVPR
2010
IEEE
15 years 5 months ago
High performance object detection by collaborative learning of Joint Ranking of Granules features
Object detection remains an important but challenging task in computer vision. We present a method that combines high accuracy with high efficiency. We adopt simplified forms of...
Chang Huang, Ramakant Nevatia
161
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ICCS
2007
Springer
15 years 9 months ago
Unusual Event Recognition for Mobile Alarm System
This paper proposes an unusual event recognition algorithm, which is a part of a mobile alarm system. Our systems focus on unusual event. When the system detects the unusual event,...
Soo Yeong Kwak, Guntae Bae, Kil-Cheon Kim, Hyeran ...
CVPR
2006
IEEE
16 years 7 months ago
Fusion of Detection and Matching Based Approaches for Laser Based Multiple People Tracking
Most of visual tracking algorithms have been achieved by matching-based searching strategies or detection-based data association algorithms. In this paper, our objective is to ana...
Jinshi Cui, Huijing Zhao, Ryosuke Shibasaki
ICPR
2008
IEEE
16 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
CVPR
1998
IEEE
16 years 7 months ago
Integrated Person Tracking Using Stereo, Color, and Pattern Detection
We present an approach to real-time person tracking in crowded and/or unknown environments using multi-modal integration. We combine stereo, color, and face detection modules into...
Trevor Darrell, Gaile G. Gordon, Michael Harville,...