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» Using Histograms to Detect and Track Objects in Color Video
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JMM2
2007
212views more  JMM2 2007»
15 years 3 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
15 years 9 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
15 years 8 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
15 years 7 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
15 years 4 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