FPGA-based compact and flexible architecture for real-time embedded vision systems

Samarawickrama, Mahendra; Pasqual, Ajith; Rodrigo, Ranga

doi:10.1109/iciinfs.2009.5429839

Cited by 10 publications

(3 citation statements)

References 7 publications

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“…Hence if there is a good mediator who knows very well about the expertise of the universities, he can coordinate properly with the industry to get everyone involved in the projects without any confusions. Furthermore, Science and Technology Management Information System (STMIS) is a computerized information system which creates a working network among academic institutes, R&D, and industry which is developed by the National Science Foundation (NSF) of Sri Lanka [32]. (NSF is responsible for the promotion of R&D by funding and monitoring projects in natural resources, energy and science, and technology in Sri Lanka.)…”

Section: Needs and Requirementsmentioning

confidence: 99%

Need for strong university-industry partnerships: a case study in Sri Lanka

et al. 2018

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University-Industry Partnerships (UIPs) in the field of DRR have produced several innovative tools, services, and advancements in industrial applications globally. However, from the Sri Lankan perspective, the level of UIPs appear to be significantly lower compared to the global context. In Sri Lanka, a country that has suffered a lot from natural disasters such as landslides and floods especially over the past few years, DRR activities are undertaken by the governmental and private sector organizations and volunteers, mostly as separate entities. This could lead to inefficiencies, overlapping of efforts, and also to the reinvention of the wheel. The Universities as Higher Education Institutions have a key role to play in bringing the aforementioned stakeholders together not only to strengthen the work they do by effective partnerships but also to come up with innovative solutions through research and development. The purpose of this paper is to explore how effective UIPs can be created in Sri Lanka to achieve the above by exploring; 1) current status of UIPs in Sri Lanka; 2) barriers to creating UIPs; 3) needs and opportunities for creating UIPs; 4) identifying best practices in creating strong and sustainable UIPs. The purpose will be fulfilled with the use of a literature review and by gathering stakeholder opinions. The research findings revealed that there is a need to develop a policy that addresses the aspects of knowledge diffusion, production, engagement, increasing the exposure of the academia for the industry and capacity building in universities. This is in order to tackle key barriers to creating UIPs. There is also a need for strong and effective leadership initiatives from universities to ensure sustainability of UIPs in Sri Lanka.

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Section: Needs and Requirementsmentioning

confidence: 99%

Need for strong university-industry partnerships: a case study in Sri Lanka

et al. 2018

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“…A FPGA is an integrated circuit designed to be configured by a customer or a designer after manufacture. FPGAs take advantage of high speed operations, especially for parallelizable operations achieving good performance in face monitoring applications [229,230,231,232]. For example, several well-known algorithms have been used and optimized for this field of application, such as: (a) spatial and temporal filtering, motion detection and optical flow analysis [229] or (b) gray scale projection, edge detection with Prewitt operator and complexity functions [230].…”

Section: Sensorsmentioning

confidence: 99%

Driver Distraction Using Visual-Based Sensors and Algorithms

Fernández¹,

Usamentiaga

Carús³

et al. 2016

Sensors

105

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Driver distraction, defined as the diversion of attention away from activities critical for safe driving toward a competing activity, is increasingly recognized as a significant source of injuries and fatalities on the roadway. Additionally, the trend towards increasing the use of in-vehicle information systems is critical because they induce visual, biomechanical and cognitive distraction and may affect driving performance in qualitatively different ways. Non-intrusive methods are strongly preferred for monitoring distraction, and vision-based systems have appeared to be attractive for both drivers and researchers. Biomechanical, visual and cognitive distractions are the most commonly detected types in video-based algorithms. Many distraction detection systems only use a single visual cue and therefore, they may be easily disturbed when occlusion or illumination changes appear. Moreover, the combination of these visual cues is a key and challenging aspect in the development of robust distraction detection systems. These visual cues can be extracted mainly by using face monitoring systems but they should be completed with more visual cues (e.g., hands or body information) or even, distraction detection from specific actions (e.g., phone usage). Additionally, these algorithms should be included in an embedded device or system inside a car. This is not a trivial task and several requirements must be taken into account: reliability, real-time performance, low cost, small size, low power consumption, flexibility and short time-to-market. The key points for the development and implementation of sensors to carry out the detection of distraction will also be reviewed. This paper shows a review of the role of computer vision technology applied to the development of monitoring systems to detect distraction. Some key points considered as both future work and challenges ahead yet to be solved will also be addressed.

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“…In addition, they have another major drawback: they are not reconfigurable. During the last decade, a large number of implementations have appeared both ASIC [8, 9] and FPGA [10–14].…”

Section: Related Workmentioning

confidence: 99%