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The processing power of modern smart cameras allows more than just simple pixel manipulations for machine vision and inspection tasks. Smart cameras can run complex vision algorithms and thus gradually move the processing and analysis of video streams from large centralized servers to processing ‘on the edge’. This chapter deals with the challenges of bringing high-level vision software from PCs to...
We present detection and tracking methods for highway monitoring based on video and audio sensors, and the combination of these two modalities. We evaluate the performance of the different systems on realistic data sets that have been recorded on Austrian highways. It is shown that we can achieve a very good performance for video-based incident detection of wrong-way drivers, still standing vehicles,...
One of the drawbacks of currently available smart camera solutions is the gap in comfort and power between software development on the PC and on the embedded system side. This paper describes efforts of bringing high level computer vision software from PCs to the constrained environments of smart cameras. We show that software development with Intel's Open Source Library OpenCV on smart cameras is...
This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stations. The proposed system uses motion to compute regions of interest and prediction of movements, extracts shape information from the video frames to detect individuals, and applies texture features to recognize people. A...
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