An integrated multi-modal sensor network for video surveillance
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
| Hi-index | 0.00 |
In this research, a taxonomy is introduced to cover important considerations for human-robot interactions. As an application of passive human-robot interaction, two modalities for localizing humans based on sound source localization and infrared motion detection were developed and integrated with the face-tracker system of a humanoid ISAC (intelligent soft arm control), in order to direct ISACs attention and to prevent it from being quickly distracted. The sound source localization and passive infrared motion detection systems are used to provide the face-tracker system with candidate regions for finding a face. In order to avoid the situation where the robot appears to be "hyperactive" and cannot give sufficient attention to a newly discovered face, these sensing modules should not directly gain control of the tracking if the system has recently acquired a new face. Our goal is to allow a human to redirect the attention of the system but give the system a method to ignore the distraction if recently engaged.