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		<doi>10.1109/SIBGRAPI.2016.069</doi>
		<citationkey>TrocoliOliv:2016:UsScCa</citationkey>
		<title>Using the scene to calibrate the camera</title>
		<format>On-line</format>
		<year>2016</year>
		<numberoffiles>1</numberoffiles>
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		<author>Trocoli, Tiago,</author>
		<author>Oliveira, Luciano,</author>
		<affiliation>Federal University of Bahia</affiliation>
		<affiliation>Federal University of Bahia</affiliation>
		<editor>Aliaga, Daniel G.,</editor>
		<editor>Davis, Larry S.,</editor>
		<editor>Farias, Ricardo C.,</editor>
		<editor>Fernandes, Leandro A. F.,</editor>
		<editor>Gibson, Stuart J.,</editor>
		<editor>Giraldi, Gilson A.,</editor>
		<editor>Gois, João Paulo,</editor>
		<editor>Maciel, Anderson,</editor>
		<editor>Menotti, David,</editor>
		<editor>Miranda, Paulo A. V.,</editor>
		<editor>Musse, Soraia,</editor>
		<editor>Namikawa, Laercio,</editor>
		<editor>Pamplona, Mauricio,</editor>
		<editor>Papa, João Paulo,</editor>
		<editor>Santos, Jefersson dos,</editor>
		<editor>Schwartz, William Robson,</editor>
		<editor>Thomaz, Carlos E.,</editor>
		<e-mailaddress>trocolit@gmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)</conferencename>
		<conferencelocation>São José dos Campos, SP, Brazil</conferencelocation>
		<date>4-7 Oct. 2016</date>
		<publisher>IEEE Computer Society´s Conference Publishing Services</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>camera calibration, surveillance camera, auto calibration.</keywords>
		<abstract>Surveillance cameras are used in public and private security systems. Typical systems may contain a large number of different cameras, which are installed in different locations. Manual calibration of each single camera in the network becomes an exhausting task. Although we can find methods that semi-automatically calibrate a static camera, to the best of our knowledge, there is not a fully automatic calibration procedure, so far. To fill this gap, we propose here a novel framework for completely auto-calibration of static surveillance cameras, based on information of the scene (environment and walkers). Characteristics of the method include robustness to walkers' pose and to camera location (pitch, roll, yaw and height), and rapid camera parameter convergence. For a thorough evaluation of the proposed method, the walkers' foot-head projection, the length of the lines projected on the ground plane and the walkers' real heights were analyzed over public and private data sets, demonstrating the potential of the proposed method.</abstract>
		<language>en</language>
		<targetfile>PID4359737.pdf</targetfile>
		<usergroup>trocolit@gmail.com</usergroup>
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