Implementation and acceleration of object-based video synopsis algorithm

As the existing object-based video synopsis algorithms cannot meet the actual demands in large-scale surveillance field due to the ignorance of computation efficiency, an improved algorithm, which improves the computation efficiency by reducing frame rate and resolution, detecting motion segments and tracking objects on the basis of gravity center, is proposed. Furthermore, in order to utilize the computing power of CPU and GPU fully, a multi-thread strategy and a GPU programming are conducted to accelerate the execution of the algorithm. Experimental results show that the improved algorithm and the proposed acceleration strategy both improve the computation efficiency of video synopsis greatly. ©, 2015, South China University of Technology. All right reserved.