Adhesion object segmentation method based on VIBE in object detection

The invention discloses an adhesion object segmentation method based on VIBE in object detection. The method includes the steps of background subtraction based on the VIBE, HOG feature vector extraction, SVM training and detection and segmentation algorithm optimization of multiple moving objects. For solving the problem of object adhesion occurring when the moving objects are shielded, the algorithm that spatial-temporal features are used for conducting rough segmentation on the moving objects in a video and then HOG features of the objects are extracted, trained and classified to perform precise segmentation is provided, the algorithm includes the steps that firstly, object detection is conducted through a VIBE algorithm, and a moving object area in a foreground is obtained by the adoption of background subtraction; secondly, scaling is conducted on images of the roughly-segmented moving objects in an original drawing, gradient histogram features of the images are extracted, a support vector machine is used for training to obtain an object segmentation classifier; finally, screening is conducted on positions of obtained moving objects, wrong objects which have large-area overlapping positions and are inconsistent in size are removed, and therefore segmentation of adhesion objects is completed.