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» Using Histograms to Detect and Track Objects in Color Video
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ICIP
2001
IEEE
14 years 9 months ago
Non-sequential video structuring based on video object linking: an efficient tool for video browsing and indexing
An efficient system for unsupervised structuring of stereoscopic sequences is presented in this paper, which generates links between similar VOPs of different shots. Particularly ...
Klimis S. Ntalianis, Nikolaos D. Doulamis, Anastas...
ICMCS
2005
IEEE
113views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Highlights extraction from sports video based on an audio-visual marker detection framework
We propose to use a visual object (e.g., the baseball catcher) detection algorithm to find local, semantic objects in video frames in addition to an audio classification algorit...
Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divaka...
ICPR
2010
IEEE
13 years 5 months ago
Track Initialization in Low Frame Rate and Low Resolution Videos
The problem of object detection and tracking has received relatively less attention in low frame rate and low resolution videos. Here we focus on motion segmentation in videos whe...
Naresh P. Cuntoor, Arslan Basharat, A. G. Amitha P...
ICIP
2001
IEEE
14 years 9 months ago
Supervised segmentation and tracking of nonrigid objects using a "mixture of histograms" model
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
Mark Everingham, Barry T. Thomas
SIBGRAPI
2005
IEEE
14 years 1 months ago
Background Subtraction and Shadow Detection in Grayscale Video Sequences
Tracking moving objects in video sequence is an important problem in computer vision, with applications several fields, such as video surveillance and target tracking. Most techn...
Julio Cezar Silveira Jacques Jr., Cláudio R...