TY - JOUR
AU - Davis, James W.
AB - In video-based surveillance people monitor a wide spatial area through video sensors for anomalous events related to safety and security. The size of the area, the number of video sensors, and the camera's narrow field-of-view make this a challenging cognitive task. Computer vision researchers have developed a wide range of algorithms to recognize patterns in the video stream (intelligent cameras). These advances create a challenge for human supervision of these intelligent surveillance camera networks. This paper presents a new visualization that has been developed and implemented to integrate video-based computer vision algorithms with control of pan-tilt-zoom cameras in a manner that supports the human supervisory role.
TI - How panoramic visualization can support human supervision of intelligent surveillance
JF - Proceedings of the Human Factors and Ergonomics Society Annual Meeting
DO - 10.1177/154193120905301719
DA - 2009-10-01
UR - https://www.deepdyve.com/lp/sage/how-panoramic-visualization-can-support-human-supervision-of-GJx7Q1soCF
SP - 1136
EP - 1140
VL - 53
IS - 17
DP - DeepDyve
ER -