Influence of Image/Video Compression on Night Vision Based Pedestrian Detection in an Automotive Application

With the introduction of IP/Ethernet networks in automobiles, video compression becomes mandatory for efficient video transfer. Lossy image and video compression standards, such as JPEG and H.264/AVC, achieve high compression efficiency, but also introduce irreversible modification to the video data. On the one hand, this can lead to perceivable image degradation, and on the other hand, affect the performance of image processing algorithms. The pedestrian detection application based on night vision technology, is one example of a driver assistance service using a video stream as input. In this paper, we examine the impact of image/video compression on pedestrian detection, which employs a far infrared (FIR) sensor. In order to measure application quality, metrics used for driver assistance system validation, are investigated through hardware in the loop (HIL) simulation.     «

With the introduction of IP/Ethernet networks in automobiles, video compression becomes mandatory for efficient video transfer. Lossy image and video compression standards, such as JPEG and H.264/AVC, achieve high compression efficiency, but also introduce irreversible modification to the video data. On the one hand, this can lead to perceivable image degradation, and on the other hand, affect the performance of image processing algorithms. The pedestrian detection application based on night vis...     »

automobiles; computer vision; data compression; driver information systems; image sensors; object detection; video coding; H.264/AVC; IP-Ethernet networks; JPEG; automotive application; driver assistance system; far infrared sensor; hardware in the loop simulation; image compression; image degradation; image processing algorithms; night vision technology; pedestrian detection; video compression; video streaming; Image coding; Measurement; Night vision; Pixel; Streaming media; Transform coding; Video compression     «

automobiles; computer vision; data compression; driver information systems; image sensors; object detection; video coding; H.264/AVC; IP-Ethernet networks; JPEG; automotive application; driver assistance system; far infrared sensor; hardware in the loop simulation; image compression; image degradation; image processing algorithms; night vision technology; pedestrian detection; video compression; video streaming; Image coding; Measurement; Night vision; Pixel; Streaming media; Transform coding; V...     »