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AVSS
2008
IEEE
15 years 4 months ago
Recognizing Shapes in Video Sequences Using Multi-class Boosting
We model the spatio-temporal variations of the shape of objects in a video sequence using a unique SVD-like decomposition. The decomposition is used to compute shape features, whi...
Naresh P. Cuntoor, Matt Welborn
MMM
2007
Springer
220views Multimedia» more  MMM 2007»
15 years 4 months ago
Automatic TV Logo Detection, Tracking and Removal in Broadcast Video
TV logo detection, tracking and removal play an important role in the applications of claiming video content ownership, logo-based broadcasting surveillance, commercial skipping, a...
Jinqiao Wang, Qingshan Liu, Lingyu Duan, Hanqing L...
PCM
2004
Springer
326views Multimedia» more  PCM 2004»
15 years 3 months ago
Automatic Video Object Tracking Using a Mosaic-Based Background
In this paper, we propose a panorama-based object tracking scheme for wide-view surveillance systems that can detect and track moving objects with a pan-tilt camera. A dynamic mosa...
Young-Kee Jung, Kyu-Won Lee, Dong-Min Woo, Yo-Sung...
MICAI
2000
Springer
15 years 1 months ago
Detection and Tracking of Facial Features in Video Sequences
This work presents a real time system for detection and tracking of facial features in video sequences. Such system may be used in visual communication applications, such as teleco...
Rogério Schmidt Feris, Teófilo Em&ia...
JIPS
2010
176views more  JIPS 2010»
14 years 5 months ago
Recognition of Human Facial Expression in a Video Image using the Active Appearance Model
Tracking human facial expression within a video image has many useful applications, such as surveillance and teleconferencing, etc. Initially, the Active Appearance Model (AAM) was...
Gyeong-Sic Jo, Yong-Guk Kim