Motion estimation and detection of complex object by analyzing resampled movements of parts
作者： P. Piumsa-nga , N. Babaguchi
DOI: 10.1109/ICIP.2004.1418766
关键词:
摘要: A moving object that has many complex parts is very hard to detect and its motion not easy estimate. We present a new technique for estimation detection of objects by analyzing the resampled motions objects. Kalman filter used track all movements tracked routes are classified into groups share same fundamental movements. Our simulations show recall approximately 0.8, while computation drops exponentially.
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