%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi@80/2009/08.17.18.28
%2 sid.inpe.br/sibgrapi@80/2009/08.17.18.28.55
%@doi 10.1109/SIBGRAPI.2009.46
%T Multi-frame motion detection for active/unstable cameras
%D 2009
%A Ristivojević, Mirko,
%A Konrad, Janusz,
%@affiliation Intellivid Corp.
%@affiliation Boston University
%E Nonato, Luis Gustavo,
%E Scharcanski, Jacob,
%B Brazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI)
%C Rio de Janeiro, RJ, Brazil
%8 11-14 Oct. 2009
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K motion detection, multi-frame video analysis, level sets, affine motion.
%X Network cameras, extensively used in video surveillance, often allow pan-tilt-zoom functionality and are also subject to wind load and mount vibrations, thus causing video frame misalignment. Although algorithms for motion detection, a basic block of most visual surveillance systems, are relatively mature for fixed cameras, they usually perform poorly for active and/or vibrating cameras. The issue is particularly severe for algorithms using multiple video frames jointly. In this paper, we extend our earlier work on multiple-frame motion detection to the case of active and unstable cameras. Our method accounts for spatially-affine, inter-frame transformations that can vary in time, uses a variational formulation and applies a level-set solution. We present ground-truth and real-data experimental results and show significant improvements over earlier methods. .
%@language en
%3 PID950239_final_submission.pdf