Motion imagery comprises an information-rich data source complementary to radar and other sensors. Video cameras can operate in various frequency bands, including infrared (IR) and visible spectrum electro-optical (EO), and provide multi-dimensional measurements across both spatial and temporal domains. Except for simple functions, however, human operators are required to scan the area of regard, designate objects of interest, and track single targets. The objective of this effort is to automate the use of video/imagery for the detection and tracking of multiple movers to provide reduced operator workload, enhanced situational awareness, and support follow-on intelligence and targeting. ALPHATECH proposes to modify and extend our multiple target tracking architecture, currently being developed for the DARPA Video Verification of Identity (VIVID) program, to conform to Army CECOM objectives and to rapidly achieve desired performance levels. We will focus on specific needs of the Army, such as the accurate absolute location of targets on a topographic coordinate frame, and will develop technology that enables detection and tracking of move-stop-move objects, exploiting the wealth of information provided by video. We will assemble a custom testbed from existing components to demonstrate tracking performance in scenarios agreed upon by the Army CECOM technical monitor.
Benefits: Video tracking algorithms can be utilized in passive surveillance systems for intrusion detection, traffic management, and homeland security.
Keywords: Imagery Tracker Algorithms Track Processing False Target Video Moving Target Indicator (MTI) Accurate Location
