TY - GEN digital ID - 131515974 TI - Moving Object Detection Using Background Subtraction AU - Shaikh, Soharab Hossain AU - Saeed, Khalid AU - Chaki, Nabendu PY - 2014 SN - 9783319073866 PB - Cham Springer International Publishing DB - UniCat KW - Computer science KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - computervisie KW - beeldverwerking KW - object recognition KW - computers KW - grafische vormgeving KW - landbouw KW - multimedia KW - computerkunde UR - https://www.unicat.be/uniCat?func=search&query=sysid:131515974 AB - This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field. ER -