A Real-Time Optical Flow Processing using Time-Varying Image Processor: ISHTAR.
Abstract
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An efficient simplification procedure of the optical flow (OF) algorithm as well as its hardware implementation using the field programmable gate array (FPGA) technology is presented. The modified algorithm is based on block matching of subsets of successive frames, and exploits
We describe an optical flow processing system that works as a virtual motion sensor. It is based on an FPGA device; this enables the easy change of configuring parameters to adapt the sensor to different motion speeds, light conditions and other environment factors. We call it vi
Variational methods for optic flow computation have the reputation of producing good results at the expense of being too slow for real-time applications. We show that real-time variational computation of optic flow fields is possible when appropriate methods are combined with mod
Optical flow algorithms are difficult to apply to robotic vision applications in practice because of their extremely high computational and frame rate requirements. In most cases, traditional general purpose processors and sequentially executed software cannot compute optical flo
Determining the optical flow of a video is compute-intensive task essential for computer vision. For achieving this processing in real time, whole algorithm deployment chain must be thought efficiency first. The development usually divided into two parts: first, designing an that
Optical flow is a pre-requisite for computing motion detection, time to collision, structure, focus of expansion as well as object segmentation. Unfortunately, most optical flow techniques do not provide accurate and dense measures that are useful for these types of computations.