Barthélémy Heyrman

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Computer-assisted vision plays an important role in our society, in various fields such as personal and goods safety, industrial production, telecommunications, robotics, etc. However, technical developments are still rare and slowed down by various factors linked to sensor cost, lack of system flexibility, difficulty of rapidly developing complex and(More)
This paper describes the HDR-ARtiSt hardware platform, a FPGA-based architecture that can produce a realtime high dynamic range video from successive image acquisition. The hardware platform is built around a standard low dynamic range (LDR) CMOS sensor and a Virtex 5 FPGA board. The CMOS sensor is a EV76C560 provided by e2v. This 1.3 Megapixel device(More)
This paper describes a complete FPGA-based smart camera architecture named HDR-ARtiSt (High Dynamic Range Adaptive Real-time Smart camera) which produces a real-time high dynamic range (HDR) live video stream from multiple captures. A specific memory management unit has been defined to adjust the number of acquisitions to improve HDR quality. This smart(More)
A high-speed analog VLSI image acquisition and low-level image processing system are presented. The architecture of the chip is based on a dynamically reconfigurable SIMD processor array. The chip features a massively parallel architecture enabling the computation of programmable mask-based image processing in each pixel. Extraction of spatial gradients and(More)
Many camera sensors suffer from limited dynamic range. The result is that there is a lack of clear details in displayed images and videos. This paper describes our approach to generate high dynamic range (HDR) from an image sequence while modifying exposure times for each new frame. For this purpose, we propose an FPGA-based architecture that can produce a(More)
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(More)
We propose a SVM-based approach to detect falls in several home environments using an optimised descriptor adapted to real-time tasks.We build an optimised spatio-temporal descriptor named STHF<sub>a_SBFS</sub> using several combinations of transformations of geometrical features, thanks to feature selection. We study the combinations of usual(More)
Temporal exposure bracketing is a simple and low cost technique to generate a high dynamic range (HDR) images. This technique is widely used to recover the whole dynamic range of a scene by selecting the adequate number of low dynamic range (LDR) images to be fused. Temporal exposure bracketing technique is introduced to be used for static scenes and it(More)