Moving Object Detection Algorithm Based on Gaussian Mixture Model and HSV Space
نویسندگان
چکیده
Aiming at the traditional Gaussian mixture model has poor adaptability to the complex scenes, we proposes an improved moving object detection algorithm based on Gaussian mixture model and HSV space. The motion region is first extracted by the improved three-frame difference method. With the matching results, region segmentation of current frame is realized. Then different regions adopt different update strategy that improves the ability to reflect the illumination and scenes change. Next, utilizing characteristics of HSV color space and image first-order gradient achieve shadow detection. It effectively reduces interference of shadows, especially the pixels of foreground which has similar brightness properties with background. Experimental results show that the algorithm has good robustness and real-time performance.
منابع مشابه
An Improved Moving Object Detection Algorithm Based on Gaussian Mixture Models
Aiming at the problems that the classical Gaussian mixture model is unable to detect the complete moving object, and is sensitive to the light mutation scenes and so on, an improved algorithm is proposed for moving object detection based on Gaussian mixture model and three-frame difference method. In the process of extracting the moving region, the improved three-frame difference method uses th...
متن کاملImproving Vehicle Detection Accuracy Based on Vehicle Shadow and Superposition Elimination
Vehicle shadow and superposition have a great influence on the accuracy of vehicles detection in traffic video. Many background models have been proposed and improved to deal with detection moving object. This paper presented a method which improves Gaussian mixture model to get adaptive background. The HSV color space was used to eliminate vehicle shadow, it was based on a computational colour...
متن کاملDetection and Tracking of Multiple Moving Objects for Surveillance and Security System
In this paper, detection and tracking of moving object with shadow removal, automated counting and alarm generation was proposed. Improved Gaussian mixture model was used for background subtraction and modeling as it robustly deals with lighting changes, repetitive motions, clutter and slowly moving objects. Shadow detection and removal was performed using improved HSV color space method. Morph...
متن کاملNegative Selection Based Data Classification with Flexible Boundaries
One of the most important artificial immune algorithms is negative selection algorithm, which is an anomaly detection and pattern recognition technique; however, recent research has shown the successful application of this algorithm in data classification. Most of the negative selection methods consider deterministic boundaries to distinguish between self and non-self-spaces. In this paper, two...
متن کاملAn Improved Gaussian Mixture Model Method for Moving Object Detection
Aiming at the shortcomings of Gaussian mixture model background method, a moving object detection method mixed with adaptive iterative block and interval frame difference method in the Gaussian mixture model is proposed. In this method, the video sequences are divided into different size pieces in order to reduce the amount of calculation of the algorithm. It not only effectively solves the pro...
متن کامل