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Method and computer system for object tracking

a computer system and object technology, applied in the field of object tracking, can solve problems such as difficulty in object recognition, and achieve the effect of speeding up the tracking of target objects

Active Publication Date: 2021-02-18
WISTRON CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This approach allows for efficient and automated object tracking, reducing the need for extensive manual labeling and facilitating the use of deep learning applications by providing reliable tracking results with high accuracy.

Problems solved by technology

However, the biggest problem is the difficulty of object recognition.

Method used

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  • Method and computer system for object tracking
  • Method and computer system for object tracking
  • Method and computer system for object tracking

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Embodiment Construction

[0019]Some embodiments of the disclosure will be described in detail below with reference to the accompanying drawings. For reference symbols used in the following descriptions, same reference symbols in different drawings represent same or similar components. These embodiments are merely a part of the present disclosure, and do not disclose all possible implementations of the disclosure. Rather, these embodiments are merely examples of a method and a computer system within the scope of the patent application of the disclosure.

[0020]FIG. 1 is a block diagram of a computer system according to an embodiment of the disclosure. However, the figure is for convenience of description only and is not intended to limit the disclosure. FIG. 1 first introduces all components and configuration relationships in the computer system. The detailed functions will be disclosed in conjunction with FIG. 2.

[0021]In the present embodiment, a computer system 100 includes a display 110, an input device 120...

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Abstract

A method and a computer system for object tracking are provided. The method includes the following steps. An image sequence including multiple images with a target object is obtained. A labelling operation corresponding to the target object in first two images and last two images in the image sequence is received to respectively generate four ground truth labels of the target object. A forward tracking of the target object is performed on the image sequence in time series according to the ground truth labels of the first two images to obtain a forward tracking result. A backward tracking of the target object is performed on the image sequence in time series according to the ground truth labels of the last two images to obtain a backward tracking result. The forward and the backward tracking results are compared to accordingly generate a final tracking result of the target object.

Description

CROSS-REFERENCE TO RELATED APPLICATION[0001]This application claims the priority benefit of Taiwan application serial no. 108129314, filed on Aug. 16, 2019. The entirety of the above-mentioned patent application is hereby incorporated by reference herein and made a part of this specification.BACKGROUNDTechnical Field[0002]The disclosure relates to a technology for object tracking, and more particularly, to a method and a computer system for object tracking.Description of Related Art[0003]The most common applications for deep learning are image recognition and object tracking. However, the biggest problem is the difficulty of object recognition. In a common use such as general face recognition or palm recognition, a public database may be used to assist in recognition. In an uncommon use such as fall recognition or bed motion recognition, one has to collect data by himself in order to perform recognition in an uncommon use.SUMMARY OF THE INVENTION[0004]In view of this, the disclosure...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06T7/20
CPCG06T7/20G06T2207/20081G06T2207/20092G06T2207/10016G06T7/246G06T1/20G06T7/248G06T2200/24G06T2207/20104G06T2207/30232G06T2207/30196Y02D10/00
Inventor HUANG, KUO-TINGLIU, ZHEN-TECHEN, YU-YENCHO, CHING-AN
Owner WISTRON CORP