Motion Pursuit in Active Vision Systems
|Keywords:||動態追蹤;機器人視覺;motion detection;machine vision|
Image-based systems are utilized extensively in the automated guidance, surveillance, and monitor. In the traditional applications, image systems play the passive roles recording what they catch. However, the visual perception of human is active. The sights of humans are always adjusted to make better views of the targets. Humans also memorize the targets so that they follow them constantly. The hardware of active vision system relies on the sighting fire control system. The thesis illustrates the method to implement the active vision system based on the human perceptions. Active vision systems consist of two parts: the motion detection module and the object database module. The former system detects the motion differences and finds out the schemas of the objects. The later system records the objects and updates the object data according to the motion detection of image processing system. By combining the two portions, an active vision system is achieved. The sighting fire control system will play the role to track the target that exists in the object database. Therefore, the integration of active vision system and sighting fire control system can realize motion pursuit.
|Appears in Collections:||Thesis|