Development of around view system based on moving object detection for safe bus getting on and off
Yun-Won Choi, Kwang-Young Kim, Mi-Ryong Park, Jong Hyo Kim, Kyung-Jin Na, Suk-Gyu Lee · 2015
This paper proposes a noble around view system based on moving object detection algorithm using background subtraction for safe bus getting on-and-off. Recently, vehicles tend to equip with several types of cameras on them as standard option for safety. Since full sized vehicles like buses confront with more moving persons around them comparing with small sized cars, they may need around view monitoring system instead of single rear camera to enlarge driver's view angle. The proposed system provides drivers with environment information around the vehicle for safe getting on-and-off. This algorithm requires high processing speed rather than high detection rate because on-line detection and action are important to avoid possible collision with them around vehicle. The proposed algorithm detects the locations of objects using information of object's motion obtained by applying a simple background subtraction method which compares the consecutive frames. The experiment which uses real movies in embedded system and PC confirms the effectiveness of the object detection algorithm.