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» Detection and Location of People in Video Images Using Adapt...
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ICPR
2000
IEEE
14 years 6 months ago
Detection and Location of People in Video Images Using Adaptive Fusion of Color and Edge Information
A new method of finding people in video images is presented. Detection is based on a novel background modeling and subtraction approach which uses both color and edge information....
Sumer Jabri, Zoran Duric, Harry Wechsler, Azriel R...
ICIP
2003
IEEE
14 years 6 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
ICIP
2005
IEEE
14 years 6 months ago
Static human body postures recognition in video sequences using the belief theory
This paper presents a system that can automatically recognize four different static human body postures in video sequences. The considered postures are standing, sitting, squattin...
Alice Caplier, Laurent Bonnaud, Michèle Rom...
CLEAR
2007
Springer
208views Biometrics» more  CLEAR 2007»
13 years 11 months ago
Head Orientation Estimation Using Particle Filtering in Multiview Scenarios
Abstract. This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multipl...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
IPCV
2007
13 years 6 months ago
Tracking Multiple Sports Players for Mobile Display
- An architecture system and a method for tracking people are presented for sports applications. The system’s input is video data from static camera and the output is the real wo...
Andreas Aristidou, Paul Pangalos, Hamid Aghvami