Sciweavers

141 search results - page 4 / 29
» Object Classification and Tracking in Video Surveillance
Sort
View
CVPR
2007
IEEE
13 years 12 months ago
Object Classification in Visual Surveillance Using Adaboost
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
John-Paul Renno, Dimitrios Makris, Graeme A. Jones
PR
2008
239views more  PR 2008»
13 years 7 months ago
A real-time object detecting and tracking system for outdoor night surveillance
Autonomous video surveillance and monitoring has a rich history. Many deployed systems are able to reliably track human motion in indoor and controlled outdoor environments. Howev...
Kaiqi Huang, Liangsheng Wang, Tieniu Tan, Stephen ...
ICPR
2008
IEEE
14 years 9 months ago
Boosting local feature descriptors for automatic objects classification in traffic scene surveillance
We address the problem of automatic object classification for traffic scene surveillance, which is very challenging for the low resolution videos, large intraclass variations and ...
Kaiqi Huang, Min Li, Tieniu Tan, Zhaoxiang Zhang
AVSS
2005
IEEE
14 years 1 months ago
A multi-feature object association framework for overlapped field of view multi-camera video surveillance systems
This work describes a data fusion technique to improve performances in objects localization and tracking for automatic video surveillance systems. The developed strategy is design...
Stefano Piva, Alessandro Calbi, Daniele Angiati, C...
ICIP
2009
IEEE
13 years 5 months ago
Object detection and tracking for night surveillance based on salient contrast analysis
Night surveillance is a challenging task because of low brightness, low contrast, low Signal to Noise Ratio (SNR) and low appearance information. Most existing models for night su...
Liangsheng Wang, Kaiqi Huang, Yongzhen Huang, Tien...