Video analytics has become a very important topic in computer vision. This paper introduces advanced video analytics human-computer interfaces for a video surveillance system to ease the tasks of security operators. The visualization of the most relevant views is provided by the human-computer interface module that preemptively activates cameras that will probably cover the motion of interesting objects. Human-computer interaction principles have been considered to develop the novel user interface. Four prototypes have been designed and usability performance has been evaluated, exploiting standard methods. Results obtained from such evaluations show the efficiency of the novel information visualization technique. © 2013 IEEE.
Camera Selection for Adaptive Human-Computer Interface
MARTINEL, Niki;MICHELONI, Christian;PICIARELLI, Claudio;FORESTI, Gian Luca
2014-01-01
Abstract
Video analytics has become a very important topic in computer vision. This paper introduces advanced video analytics human-computer interfaces for a video surveillance system to ease the tasks of security operators. The visualization of the most relevant views is provided by the human-computer interface module that preemptively activates cameras that will probably cover the motion of interesting objects. Human-computer interaction principles have been considered to develop the novel user interface. Four prototypes have been designed and usability performance has been evaluated, exploiting standard methods. Results obtained from such evaluations show the efficiency of the novel information visualization technique. © 2013 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
