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» Real-time abnormal motion detection in surveillance video
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AIPR
2008
IEEE
13 years 7 months ago
Low-cost, high-speed computer vision using NVIDIA's CUDA architecture
In this paper, we introduce real time image processing techniques using modern programmable Graphic Processing Units (GPU). GPUs are SIMD (Single Instruction, Multiple Data) device...
Seung In Park, Sean P. Ponce, Jing Huang, Yong Cao...
CVPR
2011
IEEE
13 years 1 months ago
Branch and Track
We present a new paradigm for tracking objects in video in the presence of other similar objects. This branch-andtrack paradigm is also useful in the absence of motion, for the di...
Steve Gu, Carlo Tomasi
SPIEVIP
2010
13 years 8 months ago
Automatic scene activity modeling for improving object classification
In video surveillance, automatic methods for scene understanding and activity modeling can exploit the high redundancy of object trajectories observed over a long period of time. ...
Samuel Foucher, Marc Lalonde, Langis Gagnon
IROS
2007
IEEE
189views Robotics» more  IROS 2007»
13 years 11 months ago
Person following with a mobile robot using binocular feature-based tracking
Abstract— We present the Binocular Sparse Feature Segmentation (BSFS) algorithm for vision-based person following with a mobile robot. BSFS uses Lucas-Kanade feature detection an...
Zhichao Chen, Stanley T. Birchfield