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» Video categorization using object of interest detection
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ICPR
2004
IEEE
14 years 9 months ago
Face Detection Using Discriminating Feature Analysis and Support Vector Machine in Video
This paper presents a novel face detection method in video by using Discriminating Feature Analysis (DFA) and Support Vector Machine (SVM). Our method first incorporates temporal ...
Chengjun Liu, Peichung Shih
PCM
2004
Springer
326views Multimedia» more  PCM 2004»
14 years 1 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...
CVPR
2006
IEEE
14 years 10 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
VCIP
2003
146views Communications» more  VCIP 2003»
13 years 9 months ago
A segmentation system with model-assisted completion of video objects
This paper presents a new algorithm for video-object segmentation, which combines motion-based segmentation, high-level object-model detection, and spatial segmentation into a sin...
Dirk Farin, Peter H. N. de With, Wolfgang Effelsbe...
ICIP
2003
IEEE
14 years 10 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis