Spatio-temporal features for tracking and quadruped/biped discrimination
2012
Techniques such as SIFT and SURF facilitate efficient and robust image processing operations through the use of sparse
and compact spatial feature descriptors and show much potential for defence and security applications. This paper
considers the extension of such techniques to include information from the temporal domain, to improve utility in
applications involving moving imagery within video data. In particular, the paper demonstrates how spatio-temporal
descriptors can be used very effectively as the basis of a target tracking system and as target discriminators which can
distinguish between bipeds and quadrupeds. Results using sequences of video imagery of walking humans and dogs are
presented, and the relative merits of the approach are discussed.
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