Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44013
Title: Automatic scene calibration for detecting and tracking people using a single camera
Authors: Perdomo, David
Alonso, Jesús B. 
Travieso, Carlos M. 
Ferrer, Miguel A. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: People tracking, Multiple people segmentation, Active vision, Surveillance, Scene calibration
Issue Date: 2013
Publisher: 0952-1976
Journal: Engineering Applications of Artificial Intelligence 
Abstract: Segmenting and tracking of people is an important aim in the video analysis with multitudinous applications. The scene calibration enables the system to process the input video in a different way depending on the camera position and the scene characteristics for arising the successful results. In complex situations there exists extended occlusions, shadows and/or rejections, so that an appropriate calibration is required in order to achieve a highly developed people's segmentation as well as a tracking algorithm. In the majority of cases, once the system has been installed in a certain scene, it is difficult to obtain the calibration information of the scene. In this paper, an automatic method to calibrate the scene for detecting and tracking people systems is presented based on measurements of video sequences captured from a stationary camera.
URI: http://hdl.handle.net/10553/44013
ISSN: 0952-1976
DOI: 10.1016/j.engappai.2012.08.009
Source: Engineering Applications of Artificial Intelligence[ISSN 0952-1976],v. 26, p. 924-935
Appears in Collections:Artículos
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