A novel way of tracking moving objects in video scenes

Real-time object tracking is recently becoming more and more important in the field of video analysis and processing. Applications like traffic-control, user-computer interaction, online video processing and production and video surveillance need reliable and economically affordable video tracking tools. This paper presents a new method for object tracking with improved efficiency by reducing the number of computations. The video frames are captured and smoothed by a low pass filter. The captured RGB space color frame is transformed to YCbCr space. The Y component of YCbCr is subjected to Discrete Cosine Transform by dividing into 8×8 blocks, then the DC coefficients are extracted and is used for detecting moving objects. This method reduces the number of computations and computation time. In addition the noises in the signals are suppressed automatically, since the DC coefficient is only considered.