Abstract
A motion detection technique is presented which exhibits robust properties suitable for general operation in a surveillance environment. The technique is sensitive to transient perturbations present in an image sequence while being insensitive to temporal clutter. Its performance is robust to scale and offset variations in the input sequence. The system is implemented as a pixel based temporal recursive filter, which requires modest computational resources to process each new input frame. Analysis of filter properties and experimental results for a real image sequence are reported.
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© 1997 Springer-Verlag Berlin Heidelberg
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Ngan, P.M. (1997). Motion detection in temporal clutter. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63931-4_269
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DOI: https://doi.org/10.1007/3-540-63931-4_269
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