Surveillance video cameras have been increasingly deployed along roadways over the past
decade. Automatic traffic data collection through surveillance video cameras is highly
desirable; however, sight-degrading factors and camera vibrations make it an extremely
challenging task. In this paper, a computer-vision–based algorithm for vehicle detection and
tracking is presented, implemented, and tested. This new algorithm consists of four steps:
user initialization, spatiotemporal map generation, strand analysis, and vehicle tracking. It …

Abstract Systems and methods for detecting and tracking objects, such as motor vehicles,
within video data. The systems and method analyze video data, for example, to count
objects, determine object speeds, and track the path of objects without relying on the
detection and identification of background data within the captured video data. The detection
system uses one or more scan lines to generate a spatio-temporal map. A spatio-temporal
map is a time progression of a slice of video data representing a history of pixel data …