Industrial Technology Research Institute

Yao-Chin Yang

Chih-Chung Kao

Shu-Hsin Chang

Yi-Yu Su

Kun-Hsien Lu

Pin-Chuan Liu

Yun-Shuai Yu

Ming-Hung Cheng

Hao-Ping Kang

Wei-Chih Ting

Jia-Hua Wu

A method for detecting people entering and leaving a field is provided in an embodiment of the disclosure. The method includes the following. An event detection area corresponding to an entrance is set, and the event detection area includes an upper boundary, a lower boundary, and an internal area, and the lower boundary includes a left boundary, a right boundary, and a bottom boundary; a person image corresponding to a person in an image stream is detected and tracked; and whether the person passes through or does not pass through the entrance is determined according to a first detection result and a second detection result.

System, method and storage medium for detecting people entering and leaving a field

A person re-identification method, a person re-identification system and an image screening method are provided. The person re-identification method includes the following steps. A plurality of identified images of an identified person are analyzed to obtain an interrelated array, which records a plurality of degrees of association among the identified images. The interrelated array is converted to a directed graph having at least one connected group. A representative path of each connected group is obtained. According to each representative path, a part of the identified images are outputted as at least one representative image set for performing a person re-identification process on an image to be identified.

Person re-identification method, person re-identification system and image screening method

A method for recognizing face expressions is provided. The method includes: recognizing expression categories of expressions in a plurality of face images and obtaining recognition results between each expression category and another expression category; obtaining similarities between each expression category and another expression category according to the recognition results; classifying the expression categories into a plurality of expression groups according to the similarities; training a first recognition model to classify the expressions in the face images into the expression groups; and training a second recognition model for each of the expression groups to classify the face images in each of the expression group into one of the expression categories.

Method and device for recognizing facial expressions

A data object management method and a data object management system are provided. The data object management method includes the following steps. Generate a space allocation list according to an operation parameter of a space consuming device. The space allocation list records information about a plurality of storage spaces. Update the space allocation list and a target storage space. The target storage space is one of the storage spaces. Send a playlist corresponding to the space allocation list when a reading request corresponding to the space consuming device is received.

Data object management method and data object management system

Growing community of inventors

Hsinchu, Taiwan

Yao-Chin Yang