Abstract | ||
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Smart camera, i.e. cameras that are able to acquire and process images in real-time, is a typical example of the new embedded computer vision systems. A key example of application is automatic fall detection, which can be useful for helping elderly people in daily life. In this paper, we propose a methodology for development and fast-prototyping of a fall detection system based on such a smart camera, which allows to reduce the development time compared to standard approaches. Founded on a supervised classification approach, we propose a HW/SW implementation to detect falls in a home environment using a single camera and an optimized descriptor adapted to real-time tasks. This heterogeneous implementation is based on Xilinx's system-on-chip named Zynq. The main contributions of this work are (i) the proposal of a co-design methodology. These methodologies enable the HW/SW partitioning to be delayed using high-level algorithmic description and high-level synthesis tools. Our approach enables fast prototyping which allows fast architecture exploration and optimisation to be performed, (ii) the design of a hardware accelerator dedicated to boosting-based classification, which is a very popular and efficient algorithm used in image analysis, (iii) the proposal of fall-detection embedded in a smart camera and enabling integration into the elderly people environment. Performances of our system are finally compared to the state-of-the-art. |
Year | DOI | Venue |
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2016 | 10.1007/s11554-014-0456-4 | J. Real-Time Image Processing |
Keywords | Field | DocType |
Real-time fall detection, SoC implementation, Fast smart camera prototyping, Zynq, HW/SW implementation, Boosting hardware implementation | Architecture,Computer science,Smart camera,Real-time computing,Embedded computer vision,Boosting (machine learning),Hardware acceleration,Embedded system | Journal |
Volume | Issue | ISSN |
12 | 4 | 1861-8219 |
Citations | PageRank | References |
9 | 0.92 | 31 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Benaoumeur Senouci | 1 | 46 | 4.45 |
Imen Charfi | 2 | 55 | 3.24 |
Barthelemy Heyrman | 3 | 30 | 3.00 |
Julien Dubois | 4 | 146 | 18.76 |
Johel Miteran | 5 | 80 | 7.94 |