%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2013/01.18.15.10
%2 sid.inpe.br/sibgrapi/2013/01.18.15.10.05
%@isbn 978-85-7669-272-0
%T Real-time estimation of object trajectories in image sequences
%D 1994
%A Barros, Lírida Alves de,
%@affiliation Département Electronique, ESNT/Télécom-Paris
%E Freitas, Carla dal Sasso,
%E Geus, Klaus de,
%E Scheer, Sérgio,
%B Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 7 (SIBGRAPI)
%C Curitiba, PR, Brazil
%8 9-11 Nov. 1994
%I Sociedade Brasileira de Computação
%J Porto Alegre
%V 1
%P 53-60
%S Anais
%K image sequences, estimation architecture, estimation of object trajectories.
%X 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.
%9 Modelos e Técnicas para Processamento de Imagens
%@language en
%3 8 Real time estimation of object trajectories in image sequences.pdf