Acceleration of Moving Object Detection in Bio-Inspired Computer Vision
Computer vision is a great interest field offering relevant information in a wide variety of areas. Different video processing techniques, for instance, allow us to detect moving objects from image sequences of fixed surveillance cameras. Lateral Interaction in Accumulative Computation is a classical bio-inspired method that is usually applied for detecting moving objects in video processing. This method achieves high precision but also requires a high processing time. This paper introduces a parallel code capable of keeping a high performance in terms of accuracy and runtime for the method. For some of the image sequences tested, a speed-up of \(67\times \) over the sequential counterpart is achieved.
KeywordsMotion detection Acceleration Graphics Processing Unit Lateral Interaction in Accumulative Computation
This work was partially supported by Spanish Ministerio de Economía, Industria y Competitividad, Agencia Estatal de Investigación (AEI)/European Regional Development Fund under DPI2016-80894-R grant.