Affiliation:
1. Lomonosov Moscow State University
2. National Research University Higher School of Economics
3. Samsung AI Center
Abstract
This work is devoted to the algorithm for recognizing the direction of a operator’s gaze. The paper considers the method of classifying the direction of gaze. The algorithm proposed in this paper allows to determine the driver’s gaze direction, which helps to protect the driving process. In the proposed work, we reviewed the algorithms and methods used to recognize the human gaze in various conditions. For each given method, a list of their positive and negative qualities is indicated. Based on the results of the review, an algorithm for classifying the car driver’s gaze direction is proposed. The proposed algorithm consists of two components. The first part is responsible for the regression of the gaze direction. The second part is responsible for classifying the results of the first part. Experimental evaluation of the developed algorithm has shown that it is effective for the task of classifying the gaze direction. An important advantage of this algorithm is that it does not require repeated training of the algorithm to adapt to other scenarios of gaze direction classification.
Publisher
Keldysh Institute of Applied Mathematics
Cited by
1 articles.
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