Abstract
Abstract. This paper presents a motion detection and object tracking technique for digital video surveillance applications. Motion analysis algorithms are based on processing of multiple-regression pseudospectrums. Complete object detection and tracking scheme is described. Results of testing on public PETS and ETISEO test beds are outlined.
Cite
CITATION STYLE
APA
Vishnyakov, B., Vizilter, Y., & Knyaz, V. (2012). SPECTRUM-BASED OBJECT DETECTION AND TRACKING TECHNIQUE FOR DIGITAL VIDEO SURVEILLANCE. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIX-B3, 579–583. https://doi.org/10.5194/isprsarchives-xxxix-b3-579-2012
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