TY - JOUR A2 - Jeong, Young-Sik AU - Le, Anh Vu AU - Jung, Seung-Won AU - Won, Chee Sun PY - 2014 DA - 2014/08/31 TI - Nonuniform Video Size Reduction for Moving Objects SP - 832871 VL - 2014 AB - Moving objects of interest (MOOIs) in surveillance videos are detected and encapsulated by bounding boxes. Since moving objects are defined by temporal activities through the consecutive video frames, it is necessary to examine a group of frames (GoF) to detect the moving objects. To do that, the traces of moving objects in the GoF are quantified by forming a spatiotemporal gradient map (STGM) through the GoF. Each pixel value in the STGM corresponds to the maximum temporal gradient of the spatial gradients at the same pixel location for all frames in the GoF. Therefore, the STGM highlights boundaries of the MOOI in the GoF and the optimal bounding box encapsulating the MOOI can be determined as the local areas with the peak average STGM energy. Once an MOOI and its bounding box are identified, the inside and outside of it can be treated differently for object-aware size reduction. Our optimal encapsulation method for the MOOI in the surveillance videos makes it possible to recognize the moving objects even after the low bitrate video compressions. SN - 2356-6140 UR - https://doi.org/10.1155/2014/832871 DO - 10.1155/2014/832871 JF - The Scientific World Journal PB - Hindawi Publishing Corporation KW - ER -