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		<identifier>8JMKD3MGPBW34M/3DDB938</identifier>
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		<isbn>978-85-7669-272-0</isbn>
		<citationkey>Barros:1994:ReEsOb</citationkey>
		<title>Real-time estimation of object trajectories in image sequences</title>
		<format>Impresso, On-line.</format>
		<year>1994</year>
		<numberoffiles>1</numberoffiles>
		<size>5254 KiB</size>
		<author>Barros, Lírida Alves de,</author>
		<affiliation>Département Electronique, ESNT/Télécom-Paris</affiliation>
		<editor>Freitas, Carla dal Sasso,</editor>
		<editor>Geus, Klaus de,</editor>
		<editor>Scheer, Sérgio,</editor>
		<e-mailaddress>cintiagraziele.silva@gmail.com</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 7 (SIBGRAPI)</conferencename>
		<conferencelocation>Curitiba</conferencelocation>
		<date>9 - 11 nov. 1994</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<volume>1</volume>
		<pages>53-60</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigo</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>image sequences, estimation architecture, estimation of object trajectories.</keywords>
		<abstract>This paper presents new motion estimation architecture for large displacements. An efficient differential block recursive algorithm is used to orient searching for a match and save computation power. Multiresolution and multiprediction approaches accelerate the algorithm convergence. Data multiplexing and pipeline allow real-time processing for standard video frequencies such as CCIR 601.</abstract>
		<type>Modelos e Técnicas para Processamento de Imagens</type>
		<language>en</language>
		<targetfile>8 Real time estimation of object trajectories in image sequences.pdf</targetfile>
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