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» Object Classification and Tracking in Video Surveillance
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2008
Springer
13 years 9 months ago
Artificial Creatures for Object Tracking and Segmentation
We present a study on the use of soft computing techniques for object tracking/segmentation in surveillance video clips. A number of artificial creatures, conceptually, "inhab...
Luca Mussi, Stefano Cagnoni
ECCV
2010
Springer
13 years 12 months ago
Detection and Tracking of Large Number of Targets in Wide Area Surveillance
In this paper, we tackle the problem of object detection and tracking in a new and challenging domain of wide area surveillance. This problem poses several challenges: large camera...
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
ICCBR
2009
Springer
14 years 2 months ago
Case-Based Collective Inference for Maritime Object Classification
Maritime assets such as merchant and navy ships, ports, and harbors, are targets of terrorist attacks as evidenced by the USS Cole bombing. Conventional methods of securing maritim...
Kalyan Moy Gupta, David W. Aha, Philip Moore
ICCV
2005
IEEE
14 years 9 months ago
Edge-Based Rich Representation for Vehicle Classification
In this paper we propose an approach to vehicle classification under a mid-field surveillance framework. We develop a repeatable and discriminative feature based on edge points an...
Xiaoxu Ma, W. Eric L. Grimson