The task of detection and tracking of a moving object is addressed. Algorithms have been developed which perform this task for monitoring and surveillance purposes. Prediction is also implemented in the algorithm to locate the target as to keep it stationary in the centre of the image and also to resolve the events of occlusion or masking, and to increase the normal tracking performance. Real-time implementation generates deformation in the target appearance, and then a shape database is used to improve these situations when there is a lost target. A prototypical system has been developed that makes use of a moving camera located on a robotized system. A case study is presented about animal tracking in infrared live video.

Real time object detection and tracking through a robotized system

Pieri G;Salvetti O;
2007

Abstract

The task of detection and tracking of a moving object is addressed. Algorithms have been developed which perform this task for monitoring and surveillance purposes. Prediction is also implemented in the algorithm to locate the target as to keep it stationary in the centre of the image and also to resolve the events of occlusion or masking, and to increase the normal tracking performance. Real-time implementation generates deformation in the target appearance, and then a shape database is used to improve these situations when there is a lost target. A prototypical system has been developed that makes use of a moving camera located on a robotized system. A case study is presented about animal tracking in infrared live video.
2007
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Real Time Tracking
Image Understanding
Video Surveillance
Content Based Retrieval
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/62991
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