Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exploiting superword level parallelism with multimedia instruction sets
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
A Modular Software Architecture for Real-Time Video Processing
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Framework for Script Based Virtual Directing and Multimedia Authoring in Live Video Streaming
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
Latency insensitive task scheduling for real-time video processing and streaming
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
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In recent times, there are increasing numbers of computer vision and pattern recognition (CVPR) technologies being applied to real time video processing using single processor PCs. However, these multiple computational expensive tasks are generating bottlenecks in real-time processing. We propose a scheme to achieve both high throughput and accommodation to user-specified scheduling rules. The scheduler is then distributing ‘slices’ of the latency insensitive tasks such as video object recognition and facial localization among the latency sensitive ones. We show our proposed work in detail, and illustrating its application in a real-time e-learning streaming system. We also provide discussions into the scheduling implementations, where a novel concept using interleaved SIMD execution is discussed. The experiments have indicated successful scheduling results on a high end consumer grade PC.