Tracking and Detection of Moving Vehicles using Hybrid Optical Flow Technique in Complex Transport Atmosphere

The moving vehicle tracking and detection is the main objective for counting vehicles in a complex transport atmosphere as the traditional optical flow technique could not effectively identify the moving vehicle border in spite of the increased shadow. Additionally, the conventional vehicle tracking framework has faced the issues like the occlusion, shadow and the particle filters have degraded the tracking and detection. This kind of problem is solved through the improved proposed hybrid optical flow framework and the particle filter technique to discover the moving vehicle and utilizes the shadow detection technique into the colour space for marking the shadow location after implementing the segmentation of threshold and additionally combines the shadow removal technique for correctly identifying the moving vehicles. The experimental analysis proves that the proposed technique can provide the solution to the shadow interference and occlusion for tracking the moving vehicles.