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» Multi Feature Path Modeling for Video Surveillance
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CVPR
1999
IEEE
14 years 9 months ago
Independent Motion: The Importance of History
We consider a problem central in aerial visual surveillance applications { detection and tracking of small, independently moving objects in long and noisy video sequences. We dire...
Robert Pless, Tomás Brodský, Yiannis...
AAAI
2007
13 years 10 months ago
The More the Merrier: Multi-Party Negotiation with Virtual Humans
The goal of the Virtual Humans Project at the University of Southern California’s Institute for Creative Technologies is to enrich virtual training environments with virtual hum...
Patrick G. Kenny, Arno Hartholt, Jonathan Gratch, ...
MVA
2010
181views Computer Vision» more  MVA 2010»
13 years 6 months ago
Human action detection via boosted local motion histograms
This paper presents a novel learning method for human action detection in video sequences. The detecting problem is not limited in controlled settings like stationary background or...
Qingshan Luo, Xiaodong Kong, Guihua Zeng, Jianping...
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
13 years 9 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
CODES
2005
IEEE
14 years 1 months ago
An architectural level design methodology for embedded face detection
Face detection and recognition research has attracted great attention in recent years. Automatic face detection has great potential in a large array of application areas, includin...
Vida Kianzad, Sankalita Saha, Jason Schlessman, Ga...