A survey on object detection and tracking algorithms

摘要: Object detection and tracking are important challenging task in many computer vision applications such as surveillance, vehicle navigation autonomous robot navigation. Video surveillance dynamic environment, especially for humans vehicles, is one of the current research topics vision. It a key technology to fight against terrorism, crime, public safety efficient management traffic. The work involves designing video system complex environments. In moving objects from object detection, target tracking, behaviour understanding. Detection streams first relevant step information background subtraction very popular approach foreground segmentation. this thesis, we have simulated different methods overcome problem illumination variation, clutter shadows. Detecting human body parts understanding activities. Intelligent automated security systems become an active area recent time due increasing demand areas airports, underground stations mass events. context, stationary regions most critical requirements based on abandoned or stolen parked vehicles.