A Method Of Multi-object Recognition And Counting Based On Dynamic Image

Multi-object recognition and counting in dynamic image has the very important applied value and prospective scene in such fields as the research of the medicine, the transportation monitor statistics of passenger volume and observation of the astronomy. It's a kind of advanced counting ways to adopt the technology of the image processing and pattern recognition to track and count the moving multi-target. At present, the technology has been become one of research hotspots.Multi-object recognition and counting in dynamic image is an important aspect of the image processing which includes detection classification feature extraction tracking and counting of the moving objects. And many kernel subjects are involved in the fields of image processing and pattern identification.This paper is based on the project "the statistic system of the passenger volume in the shop." A tracking and counting problem is researched on a kind of moving multi-object. The CCD camera is placed above the preyed image so that the overlap phenomenon of the objects can be avoided in the algorithm.Firstly, an advanced approach on moving objects is put forward in this paper, and it is used to detect whether moving objects exist. To a certain degree, this approach can restrain the affection such as the variant shinning shadow noise and so on.Secondly, an effective approach is adopted such as the image filtering, image segmentation, morphology processing and so on. According to the statistic features, false objects are cleared and the true objects of the heads are extracted to choose the invariable features of the objects.Finally, on the base of the normal algorithms about multi-object tracking, the feature-based tracking approach is adopted to track and count the kind of multi-object in the algorithm, in which the tracking and counting is one of the difficulties. Regarding of the moving continuity and the small change of object's features in frames, a kind of cost function is put forward in the tracking and counting algorithm, which is applied in the tracking match of the image. At the same time, the Kalman filter is used to predicate the search areas of the matching objects, and then,moving state and feature value of the objects in current frame are recorded to ensure the continuity of the dynamic tracking depended on the object-chain. This method can reduce the searching areas of the objects. In the process of tracking, when the objects rest disappear cross, or the new objects appear between the frames in the dynamic image, the algorithm can solve it correctly to realize the proper tracking of the multi-object, what's more, it correctly judges whether dynamic objects wander in the tracking areas, which ensures the validity of the counting.Based on a large number of experiments, the algorithm has a good effect on tracking and counting of a kind multi-object in dynamic images and counting results coincides with the fact basically.