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Hand activity is a critical monitoring component in understanding a driver's behavior within the car. Current vision-based hand detection algorithms perform poorly in naturalistic settings, due to various challenges such as global illumination changes and constant hand deformation and occlusion. To achieve a more accurate and robust hand detection system, this paper presents a hierarchical context-aware...
In this paper, we present the concept of "Ease of Driving" or EoD rating for road scene environment. We introduce the Classification by Holistic Analysis of Scene Environment (CHASE) algorithm to automatically classify the EoD rating using computer vision and machine learning techniques. With the CHASE algorithm we were able to achieve an accuracy of 86.84 % to classify the EoD. In the near...
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