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» Detecting and Tracking Moving Objects for Video Surveillance
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ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
16 years 6 months ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
CVPR
2007
IEEE
16 years 3 months ago
Euclidean Path Modeling from Ground and Aerial Views
Weaddress the issue ofEuclideanpath mu& ling ina single camerafor activity monitoring in a multi-camera video surveillance system m e paperpmposes a novel linear solufwnro aut...
Imran N. Junejo, Hassan Foroosh
DAGM
2007
Springer
15 years 7 months ago
A Multi-view Camera System for the Generation of Real-Time Occlusion-Free Scene Video
This paper presents a novel multi-view camera system that produces real-time single view scene video which sees through the static objects to observe the dynamic objects. The syste...
Alparslan Yildiz, Yusuf Sinan Akgul
CVPR
2007
IEEE
16 years 3 months ago
Multi-class object tracking algorithm that handles fragmentation and grouping
We propose a framework for detecting and tracking multiple interacting objects, while explicitly handling the dual problems of fragmentation (an object may be broken into several ...
Biswajit Bose, Xiaogang Wang, Eric Grimson
CVPR
2010
IEEE
15 years 1 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah