Method and system for automatic object detection and subsequent object tracking in accordance with the object shape

摘要

A method and system for automatic object detection and subsequent object tracking in accordance with the object shape in digital video systems having at least one camera for recording and transmitting video sequences. In accordance with the method and system, an object detection algorithm based on a Gaussian mixture model and expanded object tracking based on Mean-Shift are combined with each other in object detection. The object detection is expanded in accordance with a model of the background by improved removal of shadows, the binary mask generated in this way is used to create an asymmetric filter core, and then the actual algorithm for the shape-adaptive object tracking, expanded by a segmentation step for adapting the shape, is initialized, and therefore a determination at least of the object shape or object contour or the orientation of the object in space is made possible.

主权项

1. A method for automatic object detection and subsequent object tracking in digital video systems having at least one camera for recording and transmitting video sequences, said method comprising:
supplying a video signal from the at least one camera to a control room; supplying the video signal from the at least one camera to each of: an object detection module; and an object tracking module; processing the video signal in the object detection module using an algorithm based on a Gaussian mixture model to detect one or more objects in the video sequence; processing the video signal in the object tracking using Mean-Shift analysis to track one or more objects in the video sequence, further processing the video signal in the object detection module using background modeling to improve the removal of shadows from the one or more objects detected in the video sequence, generating a binary mask at an output of the object detection module that determines whether a newly identified object is present in the video sequence and creates an asymmetric filter core, supplying an output of the binary mask to the object tracking module, and initializing an object detection algorithm for shape-adaptive object tracking in the object tracking module, wherein the object detection algorithm for shape adaptive object tracking further comprises a segmentation step that comprises: adapting a localized object region as closely as possible to actual object shape, making a color segmentation or a Mean shift based color segmentation of the object and its immediate object region, classifying as object segments all segments that fall at least 35% to 70% within the immediate object region, and categorizing as object segments all segments whose color information falls at least to 35% to 70% within a target model, such that a determination of at least one of object shape or object contour or orientation of the object in space is made, and supplying an output of the object tracking module to the control room with the video signal supplied by the at least one camera.