Unify The View of Camera Mesh Network to a Common Coordinate System

• Published in: Electronic Imaging Vol. 33; no. 17; pp. 175-1 - 175-8
• Main Authors: Williams, Haney W., Simske, Steven J., Bishay, Fr. Gregory
• Format: Journal Article
• Language: English
• Published: IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA Society for Imaging Science and Technology 18.01.2021
• Subjects: Continuous Tracking; Depth Estimation; Object Tracking; Stereo Vision; Surveillance; Trajectory Prediction
• ISSN: 2470-1173; 2470-1173
• DOI: 10.2352/ISSN.2470-1173.2021.17.AVM-175

The demand for object tracking (OT) applications has been increasing for the past few decades in many areas of interest, including security, surveillance, intelligence gathering, and reconnaissance. Lately, newly-defined requirements for unmanned vehicles have enhanced the interest in OT. Advancements in machine learning, data analytics, and AI/deep learning have facilitated the improved recognition and tracking of objects of interest; however, continuous tracking is currently a problem of interest in many research projects. [1] In our past research, we proposed a system that implements the means to continuously track an object and predict its trajectory based on its previous pathway, even when the object is partially or fully concealed for a period of time. The second phase of this system proposed developing a common knowledge among a mesh of fixed cameras, akin to a real-time panorama. This paper discusses the method to coordinate the cameras' view to a common frame of reference so that the object location is known by all participants in the network.