Development methods for hybrid motion detection (frame difference-automatic threshold)

In general the motion detection method look for differences between some sequentially ordered frame followed by threshold process to detect whether occurred any movement or not. Process of deciding threshold to show any movement in dynamic environment has high enough difficulty related with many “fake” movement which appears as the result of illumination change factor, sunshine or light source, color differences as the effect of automatic color correction inside the device, shadow movement, etc. Temporal mechanism using standard deviation is a mechanism that proposed in Video Surveillance and Monitoring (VSAM) research project at Carniagie Mellon Universitiy. In this research we proposed one hybrid scheme to determine initial value of motion thresholding to create an adaptive moving detection system. We proposed the using of local standard deviation in 3 x 3 pixel area as initial value for mechanism that was defined by Robert et al. This hybrid scheme used moving standard deviation value in each pixel to create adaptive threshold value for motion/ movement detection. The experiment showed that by using local standard deviation as initial value we could achieve balance accuracy for movement and non-movement detection with accuracy propostion 80.00% for video with movement and 90.91% for video without movement.