Topic
Smart camera
About: Smart camera is a research topic. Over the lifetime, 5571 publications have been published within this topic receiving 93054 citations. The topic is also known as: intelligent camera.
Papers published on a yearly basis
Papers
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01 Jan 2009TL;DR: This chapter briefly review and classify smart camera platforms and networks into single smart cameras, distributed smart camera systems, and wireless smart camera networks, and elaborate the vision of pervasive smart camera Networks and identify major research challenges.
Abstract: Smart camera networks are real-time distributed embedded systems that perform computer vision using multiple cameras. This new approach has emerged thanks to a confluence of simultaneous advances in four key disciplines: computer vision, image sensors, embedded computing, and sensor networks. In this chapter, we briefly review and classify smart camera platforms and networks into single smart cameras, distributed smart camera systems, and wireless smart camera networks. We elaborate the vision of pervasive smart camera networks and identify major research challenges. As the technology for these networks advances, we expect to see many new applications open up—transforming traditional multi-camera systems into pervasive smart camera networks.
23 citations
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09 Nov 2001
TL;DR: In this article, a video imaging system is described, which includes a camera head for transmitting image data to a camera control unit, a control unit for receiving and processing the image data into a usable format, and a storage device accessible by the camera control units.
Abstract: A video imaging system is provided including, a camera head for transmitting image data to a camera control unit, a camera control unit for receiving and processing the image data into a usable format, and a storage device accessible by the camera control unit. The retrieved program executes on the camera control unit for enabling the camera control unit to process image data.
23 citations
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10 Sep 1969
TL;DR: In this paper, the video signal output of a television camera is successively differentiated, integrated and differentiated to produce signals which are utilized by a logic circuit to drive a motor that controls the focus of the camera.
Abstract: Apparatus for automatically focusing a television camera The video signal output of the camera is successively differentiated, integrated and differentiated to produce signals which are utilized by a logic circuit to drive a motor that controls the focus of the camera
23 citations
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TL;DR: A fully programmable Internet of Things visual sensing node that targets sub-mW power consumption in always-on monitoring scenarios and achieves lower power consumption compared to MCU-based cameras with significantly lower on-board computing capabilities is presented.
Abstract: This paper presents a fully programmable Internet of Things visual sensing node that targets sub-mW power consumption in always-on monitoring scenarios. The system features a spatial-contrast ${128\times 64}$ binary pixel imager with focal-plane processing. The sensor, when working at its lowest power mode ( ${10 ~\mu }\text{W}$ at 10 frames/s), provides as output the number of changed pixels. Based on this information, a dedicated camera interface, implemented on a low-power field-programmable gate array, wakes up an ultralow-power parallel processing unit to extract context-aware visual information. We evaluate the smart sensor on three always-on visual triggering application scenarios. Triggering accuracy comparable to RGB image sensors is achieved at nominal lighting conditions, while consuming an average power between 193 and ${277 ~\mu }\text{W}$ , depending on context activity. The digital subsystem is extremely flexible, thanks to a fully programmable digital signal processing engine, but still achieves $19 {\times }$ lower power consumption compared to MCU-based cameras with significantly lower on-board computing capabilities.
23 citations
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12 Dec 2008TL;DR: This paper uses an infrared projector to project markers onto the surface of the equipment to be maintained, and implements a prototype camera system consisting of a conventional camera (scene camera) and an infrared camera (tracking camera).
Abstract: In this paper, we propose augmented reality (AR) applications for equipment maintenance. The system is based on the projection and detection of infrared markers. We use an infrared projector to project markers onto the surface of the equipment to be maintained. These markers are invisible to the human-eye, but they could be clearly identified by the infrared camera. As a proof of concept, we have implemented a prototype camera system consisting of a conventional camera (scene camera) and an infrared camera (tracking camera). The systempsilas viewpoint could be calculated and the visible image is captured simultaneously when using such a camera system. Some 3D models are overlaid on top of a video image. We demonstrate several applications of our method, including air filter replacement and gear-box maintenance for a milling machine.
23 citations