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» Using Histograms to Detect and Track Objects in Color Video
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JMM2
2007
212views more  JMM2 2007»
13 years 7 months ago
Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking
— This paper makes new contributions in motion detection, object segmentation and trajectory estimation to create a successful object tracking system. A new efficient motion det...
Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar N...
CVPR
2007
IEEE
14 years 2 months ago
Automatic Person Detection and Tracking using Fuzzy Controlled Active Cameras
This paper presents an automatic system for the monitoring of indoor environments using pan-tilt-zoomable cameras. A combination of Haar-feature classifier-based detection and co...
Keni Bernardin, Florian van de Camp, Rainer Stiefe...
WACV
2005
IEEE
14 years 1 months ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
CGI
2004
IEEE
13 years 11 months ago
Participant Activity Detection by Hands and Face Movement Tracking in the Meeting Room
For the purpose of Multimodal Meeting Manager Project (M4), an approach based on face and a hand tracking is proposed. The technique essentially includes skin color detection, seg...
Igor Potucek, Stanislav Sumec
ICMLA
2008
13 years 9 months ago
Video Shot Segmentation Using Late Fusion Technique
In this paper, a new method for detecting shot boundaries in video sequences using a late fusion technique is proposed. The method uses color histogram as the feature, and process...
C. Krishna Mohan, N. Dhananjaya, B. Yegnanarayana