Detection Method for Cheating Behavior in Examination Room Based on Artificial Bee Colony Algorithm

A detection method for cheating behavior in examination room based on artificial bee colony algorithm is presented. The problem of moving objects detection is transformed into the difference function of color value between foreground and background. Artificial bee colony algorithm is applied for optimizing the objective function. The background component is separated from the sequence images by value of comparing with proper threshold and the moving target track can be successfully extracted. Simulation experiments with real surveillance image show that the mothed can attain good results for finding the track of moving objects and achieve the purpose of detecting the cheating behaviors in examination room.