Specific Features of Operation of Fallen Person Detection Algorithms Based on a Sequence of Scene Images
V. A. Ivanov, V. S. Kirichuk
Institute of Automation and Electrometry Siberian Branch Russian Academy of Sciences
vaivanov@iae.nsk.su, kirichuk@iae.nsk.su
Keywords: object, sequence, image, background, detector, recognition
Pages: 15-25
Abstract
Specific features of operation of fallen person detection algorithms having a moderate computational complexity and based on a sequence of images obtained by stationary video surveillance cameras are analyzed. Approaches to enhancing the algorithm operation stability are proposed. One variant of obtaining a more reliable silhouette of the object is considered; parameters used in recognition of the object states are analyzed and selected. A method of increasing the detector stability is proposed. This method is based on identifying intervals of stability of the average values of parameters, which allows reliability of detection of the object states to be improved. Results of computational experiments are presented.
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