A smart camera performs real-time analysis to recognize scenic elements .Smart cameras are useful in a variety of scenarios: surveillance, medicine etc. We have built a real-time system for recognizing gestures. Our smart camera uses novel algorithms to recognize gestures based on low-level analysis of body parts as well as hidden Markov models for the moves that comprise the gestures. These algorithms run on a Tri media processor. Our system can recognize gestures at the rate of 20 frames/second. The camera can also fuse the results of multiple cameras
Overview
Recent technological advances are enabling a new generation of smart cameras that?? represent a quantum leap in sophistication. While today's digital cameras capture images, smart cameras capture high-level descriptions of the scene and analyze what they see. These devices could support a wide variety of applications including human and animal detection, surveillance, motion analysis, and facial identification Video processing has an insatiable demand for real-time performance. Fortunately, Moore's law provides an increasing pool of available computing power to apply to real time analysis. Smart cameras leverage very large-scale integration (VLSI) to provide such analysis in a low-cost, low-power system with substantial memory. Moving well beyond pixel processing and compression, these systems run a wide range of algorithms extract meaning from streaming video. Because they push the design space in so many dimensions, smart cameras are a leading edge application for embedded system? reseaches.
The advantages of leveraging existing sensor technology far outweigh any benefits of sing pixel-plane processors until they become more plentiful. However, attaching special-purpose SIMD processors to the multiprocessor can be useful for boundary analysis and other operations. Such accelerators can also save power, which is important given the cost and effort required to deploy multiple cameras, especially in an outdoor setting. High-frame-rate cameras, which are useful for applications ranging from vibration analysis to machinery design, will likely require many specialized processing elements that are fast as well as area efficient.
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