Parking Cell Detection Algorithms of Multiple Characteristics Based on Video Image

Parking cell detection is one of the key technologies in parking lot monitoring and management system,this paper proposes a parking cell detection algorithm of multiple video features,in view of complex background and different illumination conditions in the parking lot.Firstly,this paper has fully used the geometrical and statistical features of the parking cell information,and extracted the features parameter of parking cell,and then designed three kinds of different solution from mathematics modeling angle.Finally, many images,which are regarded as the parking cell detection images in different weather and conditions are have been tested by those proposed algorithms continuously for 14 days,and comparisons have been made with the results in the proposed algorithms.The experimental result indicated that the algorithm of Bayes methods with PCA is superior to other algorithms in aspects of operation time,recognition accuracy,and the robustness.Its detection rate reaches as high as 98.99%.