Analysis of Percentage of Wrong Classification (PWC) and precision for different categories of videos on GPU

Green computing is the environmentally responsible use of computers and related resources. Such practices include the implementation of energy-efficient computing solutions. Multi-core and General Purpose Graphics Processing Units (GPGPUs) computing has become trend of high performance processors and energy efficient computing. Video processing technique like moving object detection which is a computationally intensive task can be made to exploit the multi-core architecture to extract information more efficiently. Implementing moving object detection on GPU using CUDA or other platforms provides greater speedup and scalability in terms of input size. Different types of input videos or videos with different types of effects are tested. The output obtained from the system is compared with the ground-truth to verify the correctness of the system.