Chapter 6. Conclusions and Perspective
6.2 The software-based AMEA and DASS
AMEA has overcame the video encoding problems, such as lighting effects, outside environmental influences, and the quality issues of the in-ROI part, in the vehicle surveillance videos. Moreover, the design and implementation of AMEA, which adopts an efficient HEA to pre-process the images to reduce the luminance changing due to the different environments, are proposed. An adaptive and low complexity MV search procedure in and out of ROI is developed to increase the calculation speed and the encoding quality, and be integrated into VSS, which is
suitable for telematics because of its low power consumption and stability. VSS can capture the real-time images inside the car, compress it with H.264 standard, and transfer it to the mobile phones. The programs with friendly GUI are completed to make the users to browse the instant videos through 3.5G/3G network to determine whether their properties are stolen or not anytime and anywhere.
Moreover, DASS with the lane and vehicle detection in omni-direction of several conditions, such as general cases, rainy days, complex roads, curved roads, and nights, are implemented. Unlike other systems that can only provide single function, DASS also develops three main safety assist functions, lane departure and collision warning, full-time driving status recorder, and mobile surveillance system. DASS can protect the drivers and the vehicles whenever they are moving or not, and it has been successfully verified for hundreds of kilometers on Highway No.3 and Expressway No.68 in Taiwan.
To enhance AMEA and DASS on more versatile applications, future work may focus on: (1) to adjust the ROI adaptively [123][124]. Since the ROI will be varied car by car due to the installation, face detection should be applied to automatically focus on the important area that will provide more useful information. (2) To change the compression ratio according to the network bandwidth [125][126]. VSS will transmit the bitstream to users’ mobile phone wirelessly, so the ME and the texture coding blocks should modify their accuracy based on the feedback of the rate control engine.
(3) To simplify the encoding procedure [127][128]. There have two approaches to solve this issue: one is the simplification of H.264, and the other is to make the current MB pass the processing steps. Therefore, all-zero block detection will be a good method to achieve extra computational saving.
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