Real-Time Implementation of Obstacle Detection Algorithms on a Datacube MaxPCI Architecture

Yang, Mau-Tsuen; Gandhi, T.; Kasturi, Rangachar; Coraor, L.D.; Camps, Octavia; McCandless, Jeffrey W.

doi:10.1006/rtim.2001.0272

Cited by 4 publications

(3 citation statements)

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“…It has been shown in [154] that such a system can be implemented using off-the-shelf components without the need for high-end and expensive frame grabbers. In this reference, the problem of image sequence segmentation based on a global camera motion compensation, a robust frame differencing, and a curve evolution was discussed.…”

Section: Video Segmentation Systemmentioning

confidence: 99%

“…In [152], the problem of object detection in real-time was discussed. A point was made that while VLSI, ASIC, or FPGAs can be used to meet the real-time constraint for video rate object detection, such solutions require a low-level hardware design that is often difficult to achieve by image processing developers unfamiliar with design techniques.…”

Section: Object Detection Systemmentioning

confidence: 99%

“…For example, in [152], the computations required for applying a large 13 × 13 filter kernel had to be approximated by using two sequential passes of a smaller 7 × 7 filter kernel due to a lack of processing resources supporting larger kernels. The approximation did not have any detrimental effect on the outcome of the object tracking system under consideration.…”

Section: Reduction Via Approximationsmentioning

confidence: 99%

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Real-Time Image and Video Processing: From Research to Reality

Kehtarnavaz¹,

Gamadia²

2006

Synthesis Lectures on Image, Video, and Multimedia Processing

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This book presents an overview of the guidelines and strategies for transitioning an image or video processing algorithm from a research environment into a real-time constrained environment. Such guidelines and strategies are scattered in the literature of various disciplines including image processing, computer engineering, and software engineering, and thus have not previously appeared in one place. By bringing these strategies into one place, the book is intended to serve the greater community of researchers, practicing engineers, industrial professionals, who are interested in taking an image or video processing algorithm from a research environment to an actual real-time implementation on a resource constrained hardware platform. These strategies consist of algorithm simplifications, hardware architectures, and software methods. Throughout the book, carefully selected representative examples from the literature are presented to illustrate the discussed concepts. After reading the book, the readers are exposed to a wide variety of techniques and tools, which they can then employ for designing a real-time image or video processing system of interest. KEYWORDSReal-time image and video processing, Real-time implementation strategies, Algorithmic simplifications for real-time image and video processing, Hardware platforms for real-time image and video processing, Software methods for real-time image and video processing v

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Section: Video Segmentation Systemmentioning

confidence: 99%

Section: Object Detection Systemmentioning

confidence: 99%

Section: Reduction Via Approximationsmentioning

confidence: 99%

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