Sciweavers

336 search results - page 13 / 68
» Using Histograms to Detect and Track Objects in Color Video
Sort
View
ICPR
2002
IEEE
14 years 8 months ago
Object Segmentation and Tracking Using Video Locales
In this paper, we present a new technique based on feature localization for segmenting and tracking objects in videos. A video locale is a sequence of image feature locales that s...
James Au, Ze-Nian Li, Mark S. Drew
CLEAR
2006
Springer
133views Biometrics» more  CLEAR 2006»
13 years 11 months ago
Multi-feature Graph-Based Object Tracking
We present an object detection and tracking algorithm that addresses the problem of multiple simultaneous targets tracking in realworld surveillance scenarios. The algorithm is bas...
Murtaza Taj, Emilio Maggio, Andrea Cavallaro
CVPR
2003
IEEE
14 years 1 months ago
Continuous Tracking Within and Across Camera Streams
This paper presents a new approach for continuous tracking of moving objects observed by multiple, heterogeneous cameras. Our approach simultaneously processes video streams from ...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
ICASSP
2011
IEEE
12 years 11 months ago
Flame detection method in video using covariance descriptors
Video fire detection system which uses a spatio-temporal covariance matrix of video data is proposed. This system divides the video into spatio-temporal blocks and computes covar...
Yusuf Hakan Habiboglu, Osman Gunay, A. Enis &Ccedi...
MVA
2008
125views Computer Vision» more  MVA 2008»
13 years 7 months ago
Pearson-based mixture model for color object tracking
To track objects in video sequences, many studies have been done to characterize the target with respect to its color distribution. Most often, the Gaussian Mixture Model (GMM) is ...
William Ketchantang, Stéphane Derrode, Lion...