摘要:
In one exemplary embodiment, a tracking system for region-of-interest (ROI) performs a feature-point detection locally on an ROI of an image frame at an initial time via a feature point detecting and tracking module, and tracks the detected features. A linear transformation module finds out a transform relationship between two ROIs of two consecutive image frames, by using a plurality of corresponding feature points. An estimation and update module predicts and corrects a moving location for the ROI at a current time. Based on the result corrected by the estimation and update module, an outlier rejection module removes at least an outlier outside the ROI.
摘要:
In one exemplary embodiment, an object region tracking and picturing module is constructed on a moving platform of a mobile end and a remote control module is constructed on anther platform for an image object region tracking system. The two modules communicate with each other via a digital network for delivering required information. The object region tracking and picturing module uses a real-time image backward search technology to store at least an image frame previously captured on the moving platform into a frame buffer, and start tracking an object region from the position pointed out by the remote control module to a newest image frame captured on the moving platform, then find out a relative position on the newest image frame for the tracked object region.
摘要:
An image processing method and a system are provided. The image processing method of moving camera comprises the following steps. An image of a road is captured by a first camera unit. A coordinate of the image of an object shown in the image of the road is captured when the image of the object shown in the image of the road is selected. At least an aiming angle of a second camera unit is adjusted according to the coordinate to make the field-of-view of the second camera unit aligned with the object. The image of the object is captured by the second camera unit. The image of the object is enlarged.