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» Detecting Carried Objects in Short Video Sequences
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MM
1995
ACM
139views Multimedia» more  MM 1995»
15 years 1 months ago
A Feature-Based Algorithm for Detecting and Classifying Scene Breaks
We describe a new approach to the detection and classication of scene breaks in video sequences. Our method can detect and classify a variety of scene breaks, including cuts, fade...
Ramin Zabih, Justin Miller, Kevin Mai
ICIP
2003
IEEE
15 years 11 months ago
Graph-based object tracking
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...
Cristina Gomila, Fernand Meyer
CRV
2005
IEEE
219views Robotics» more  CRV 2005»
15 years 3 months ago
People Tracking using Robust Motion Detection and Estimation
Real world computer vision systems highly depend on reliable, robust retrieval of motion cues to make accurate decisions about their surroundings. In this paper, we present a simp...
Markus Latzel, Emilie Darcourt, John K. Tsotsos
WACV
2005
IEEE
15 years 3 months ago
Periodic Motion Detection and Estimation via Space-Time Sampling
A novel technique to detect and localize periodic movements in video is presented. The distinctive feature of the technique is that it requires neither feature tracking nor object...
Ashwin Thangali, Stan Sclaroff
ICIP
2006
IEEE
15 years 11 months ago
Estimation of Dynamic Background for Fluorescence Video-Microscopy
This paper describes a method for separating moving objects from temporally varying background in time-lapse confocal microscopy image sequences representing fluorescently tagged ...
Charles Kervrann, Jérôme Boulanger, P...