چکیده (انگلیسی):

Intelligent video is a new area of research fairly wide allowing to
do a study, analysis, or interpretation of digital video such as motion
analysis. However, for a video surveillance system, a motion analysis task
of digital video includes the detection of moving objects and their tracking.
The object detection allows the location of the regions of interest, which
represents a change of movement. The purpose of tracking is to maintain
the identity of objects detected over time by the estimation or the location
of their position in each frame of the sequence. The most popular tracking
algorithm is the Kalman filtering. In this study a hardware architecture for
moving object tracking using Kalman filter on a FPGA board, is proposed.