Driver/passenger discrimination for the interaction with the dual-view touch screen integrated to the automobile centre console

摘要

In an attempt to further develop and evaluate the optical recognition systems for distinguishing between driver and front-seat passenger during their interactions with dual-view touch screen integrated to the automobile centre console, this work focuses on the enhancement of both image processing algorithms and experimental environment. In addition to the motion based forearm and hand segmentation and the texture based arm direction analysis, the adaptive boosting classifiers with Haar-like features have been engaged for the learning of driver's and passenger's hand patterns. The user discrimination system was completely reproduced in a laboratory, including passenger compartment with genuine dashboard, touch screen, camera and near-infrared lamps, so that different illumination conditions could be modeled. The new acquisition system allows automatic and unambiguous registration of all touch screen interactions and their synchronization with the video stream. This results in credible evaluation of the image processing routines. The adjustment of the camera position and the active infrared illumination made it possible to reduce the recognition error rates and to achieve superior discrimination performance compared to previous works.