Exploiting Semantics for Sensor Re-Calibration in Event Detection Systems[Long]
Source: University of California
Event detection from a video stream is becoming an important and challenging task in surveillance and sentient systems. While computer vision has been extensively studied to solve different kinds of detection problems over time, it is still a hard problem and even in a controlled environment only simple events can be detected with a high degree of accuracy. Instead of struggling to improve event detection using image processing only, the authors bring in semantics to direct traditional image processing. Semantics are the underlying facts that hide beneath video frames, which cannot be "Seen" directly by image processing.