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CVPR
2007
IEEE
16 years 1 months ago
A Topic-Motion Model for Unsupervised Video Object Discovery
The bag-of-words representation has attracted a lot of attention recently in the field of object recognition. Based on the bag-of-words representation, topic models such as Probab...
David Liu, Tsuhan Chen
ICPR
2010
IEEE
15 years 1 days ago
Assessing Water Quality by Video Monitoring Fish Swimming Behavior
Animals are known to alter their behavior in response to changes in their environments. Therefore, automatic visual monitoring of animal behavior is currently of great interest be...
Carlos Serra-Toro, Raúl Montoliu, V. Javier...
WACV
2005
IEEE
15 years 5 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
ISCIS
2003
Springer
15 years 5 months ago
POCS-Based Enhancement of De-interlaced Video
Abstract. To convert an interlaced video into a progressive one effectively, de-interlacing techniques have been developed. However, existing de-interlacing techniques can not per...
Kang-Sun Choi, Jun-Ki Cho, Min-Cheol Hwang, Sung-J...
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
15 years 6 months ago
Frame rate object extraction from video sequences with self organizing networks and statistical background detection
— In many computer vision related applications it is necessary to distinguish between the background of an image and the objects that are contained in it. This is a difficult pr...
Thiago C. Bellardi, Dizan Vasquez, Christian Laugi...