Gwangju Institute of Science and Technology

Yong Gu Lee

Eui Seok Hwang

Jun Ho Song

Tae Seung Baek

A traffic hand signal detection system includes: an imaging unit configured to acquire a photographed image from a camera photographing a predetermined range; an image classifier configured to classify an arm motion from the photographed image provided from the imaging unit by imparting a class; a detection module configured to detect the arm motion from the photographed image classified by the image classifier and generate a traffic hand signal sequence converted into a number; and an analysis module configured to receive the traffic hand signal sequence converted into the number from the detection module and determine a type of a traffic hand signal.

Traffic hand signal detection system and method thereof

A first electronic device according to various embodiments may select one of a plurality of representation matrices and one of a plurality of measurement matrices on the basis of a pattern and/or feature of data received from a sensor. The selection of the representation matrix and the measurement matrix may be performed on the basis of machine learning. Based on the selected representation matrix and measurement matrix, the first electronic device may adaptively compress at least a portion of the data. A second electronic device according to various embodiments may restore compressed data on the basis of the result of selecting the representation matrix and the measurement matrix. By dynamically selecting the representation matrix and the measurement matrix on the basis of machine learning, it is possible to reduce an error in the data restored by the second electronic device (e.g., a restoration error).

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Gwangju, South Korea

Yong Gu Lee