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» Detecting and Tracking Moving Objects for Video Surveillance
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ISDA
2010
IEEE
14 years 10 months ago
Self-adaptive Gaussian mixture models for real-time video segmentation and background subtraction
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
CVPR
2004
IEEE
16 years 3 months ago
Selecting Ghosts and Queues from a Car Trackers Output Using a Spatio-Temporal Query Language
This paper presents a spatio-temporal query language useful for video interpretation and event recognition. The language is suited to describe configurations of objects moving on ...
Christian Köhler
ICASSP
2009
IEEE
15 years 8 months ago
Wildfire detection using LMS based active learning
A computer vision based algorithm for wildfire detection is developed. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) gra...
B. Ugur Töreyin, A. Enis Çetin
IJCV
2012
13 years 3 months ago
Sparse Occlusion Detection with Optical Flow
Abstract We tackle the problem of detecting occluded regions in a video stream. Under assumptions of Lambertian reflection and static illumination, the task can be posed as a vari...
Alper Ayvaci, Michalis Raptis, Stefano Soatto
ICONIP
2007
15 years 2 months ago
The Detection of an Approaching Sound Source Using Pulsed Neural Network
Current automobiles’ safety systems based on video cameras and movement sensors fail when objects are out of the line of sight. This paper proposes a system based on pulsed neura...
Kaname Iwasa, Takeshi Fujisumi, Mauricio Kugler, S...