Abstract: A vehicle detection system for providing data characteristic of traffic conditions includes a camera overlooking a roadway section for providing video signals representative of the field (traffic scene), and a digitizer for digitizing these signals and providing successive arrays of pixels (picture elements) characteristic of the field at successive points in space and time. A video monitor coupled to the camera provides a visual image of the field of view. Through use of a terminal and in conjunction with the monitor, an operator controls a formatter so as to select a subarray of pixels corresponding to specific sections in the field of view. A microprocessor then processes the intensity values representative of the selected portion of the field of view in accordance with spatial and/or temporal processing methods to generate data characteristic of the presence and passage of vehicles.

Abstract: A system for automatic thresholding video data to educe and detect objects of interest from both high and low contrast imagery is disclosured here, which makes an object screening system adaptive to changing scene intensity and contrast levels automatically is disclosed. The real-time adaptive image interval extraction device extracts the edges of an object and simultaneously generates a bright signal for intensity larger than a given threshold. The interval, over which an object may exist, is derived from a logical combination of edge and bright signals. The video data is smoothed by a two-dimensional, weighted average, low pass or smoothing filter and passed through two filters, an edge filter and a bright filter. The edge filter determines the edge intensity magnitude associated between sucessive picture elements or pixels in the scan line of video data. An edge threshold is determined automatically from the average edge intensity of each scan line of data.