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AVSS
2005
IEEE
13 years 11 months ago
Surveillance video for mobile devices
In this paper, we present a video encoding scheme that uses object-based adaptation to deliver surveillance video to mobile devices. The method relies on a set of complementary vi...
Olivier Steiger, Touradj Ebrahimi, Andrea Cavallar...
ASC
2004
13 years 5 months ago
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for t...
George D. Magoulas, Vassilis P. Plagianakos, Micha...
IWINAC
2011
Springer
12 years 8 months ago
Clustering of Trajectories in Video Surveillance Using Growing Neural Gas
Abstract. One of the more important issues in intelligent video surveillance systems is the ability to handle events from the motion of objects. Thus, the classification of the tr...
Javier Acevedo-Rodríguez, Saturnino Maldona...
PREMI
2007
Springer
13 years 11 months ago
An Adaptive Bayesian Technique for Tracking Multiple Objects
Abstract. Robust tracking of objects in video is a key challenge in computer vision with applications in automated surveillance, video indexing, human-computer-interaction, gesture...
Pankaj Kumar, Michael J. Brooks, Anton van den Hen...
ICCV
2005
IEEE
14 years 7 months ago
Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...