Radiometric CCD camera calibration and noise estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Why Table Ground-Truthing is Hard
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Image change detection algorithms: a systematic survey
IEEE Transactions on Image Processing
Video object segmentation: a compressed domain approach
IEEE Transactions on Circuits and Systems for Video Technology
High-Speed Action Recognition and Localization in Compressed Domain Videos
IEEE Transactions on Circuits and Systems for Video Technology
Lane mark segmentation and identification using statistical criteria on compressed video
Integrated Computer-Aided Engineering
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This paper presents a novel approach to fast motion detection in H.264/MPEG-4 Advanced Video Coding (AVC) compressed video streams for IP video surveillance systems. The goal is to develop algorithms which may be useful in a real-life industrial perspective by facilitating the processing of large numbers of video streams on a single server. The focus of the work is on using the information in coded video streams to reduce the computational complexity and memory requirements, which translates into reduced hardware requirements and costs. The devised algorithm detects and segments activity based on motion vectors embedded in the video stream without requiring a full decoding and reconstruction of video frames. To improve the robustness to noise, a confidence measure based on temporal and spatial clues is introduced to increase the probability of correct detection. The algorithm was tested on indoor surveillance H.264 sequences.