Qnap Systems, Inc.

Yun-Tao Chen

Kung-Han Chen

Peng-Yan Sie

Jian-Kai Wang

A cross-sensor object-attribute analysis method for detecting at least one object in a space by using cooperation of a plurality of image sensing devices, the method including: the image sensing devices sending raw data or attribute vector data of sensed multiple images to a main information processing device, where the raw data and attribute vector data all correspond to a time record; and the main information processing device generating one or more of the attribute vectors according to the raw data of each of the images and using each of the one or more of the attribute vectors to correspond to one of the at least one object, or the main information processing device directly using the attribute vector data to correspond to the at least one object.

Cross-sensor object-attribute analysis method and system

A cross-sensor object-space correspondence analysis method for detecting at least one object in a space by using cooperation of a plurality of image sensing devices, the method including: the image sensing devices sending raw data or grid code data of multiple frames of sensed images to a main information processing device to determine a corresponding projection point or a moving track of each of the at least one object on a reference plane corresponding to the space, where each of the image sensing devices has an image plane, and the raw data and each of the grid code data all correspond to a time record.

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Taipei, Taiwan

Yun-Tao Chen