Research On Environmental Change Perception And Adaptive Moving Object Detection

In recent years, moving object detection has been a hot spot in theory and application research. It is also an important branch of the subjects which include video image processing, computer vision and so on. Moving object detection is refers to distinguish between the moving object and the background or other which is not interested in the detection in the image sequence or video. In the complex environment, however, it’s always difficult in video image processing area. It has become the serious obstacle of the practicability and reliability in the video image processing system increasingly.In the complicated surroundings, any changes of the environment will influence the accuracy of the target detection. So it put forward an algorithm that combines the Generalized Gaussian Mixture Model (GGMM) (or Adaptive-K Generalized Gaussian Mixture Model (AKGGMM)) and background subtraction to detect moving objects. The model has a flexibility to perceive environment and model the video background adaptively in the presence of environmental changes (such as radial gradient, shadows, background disturbance and noise etc). At the same time, this article uses the SNP shadow detection method, which is based on the RGB color model. The shadow will also be detected for moving object in the complicated surroundings. Therefore, the shadow detection is also important. Next, it uses the brightness information to detect whether sudden illumination change occurs or not. And when it occurs, the model can resolve it quickly. Because the algorithm is very complex, in order to meet the real-time, this model adopt the principle which is updated every three frame modeling. The experiments show that this algorithm can meet the real-time and detect the target motion accurately.It is the realization of the algorithm based on the TI DaVinci platform. DM6446 is a dual-core processor, which include ARM and DSP. This paper analyzes the principle of the dual-core communication mechanism between ARM and DSP, DaVinci development process and the working principle of the codec engine and DSP sever. DaVinci platform works in embedded Linux operating system. Algorithm is transplanted through the Linux to the platform for experiment. Before the transplant, the algorithm must be optimized.