SoC processor for real-time object labeling in life camera streams with low line level latency
SoC processor for real-time object labeling in life camera streams with low line level latency
复制标题
SoC 处理器，用于在生活摄像头流中实时标记物体，线路级延迟低
DOI：
10.1109/iscas.2014.6865136
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Xiaolang Yan
中科院分区：
文献类型：
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作者：
Zhengqiang Yu;L. Claesen;Yun Pan;Andy Motten;Yimu Wang;Xiaolang Yan
图像识别系统实现了多个处理阶段：预处理、分割和分类。在基于摄像机的视频处理链中，通常在捕获时刻和分类结果的实际可用性之间发生几个帧延迟。用于基于流的视频处理的硬件体系结构已经被广泛采用。本文提出了一种新的硬件结构，用于加速分割步骤中连通分量分析和对象标记的通用任务。该体系结构专门针对摄像机捕获的图像分量和硬件检测之间的极低延迟进行了优化。该延迟仅构成几个延迟线，因此与传统的基于帧缓冲器的方法相比，响应时间缩短了几个数量级。
Image recognition systems implement a number of processing stages: preprocessing, segmentation and classification. In camera based video processing chains, usually several frame delays are incurred between the moment of capture and the actual availability of the classification results. Hardware architectures for stream based video processing have already been widely employed. In this paper, a new hardware architecture for accelerating the generic task of connected component analysis and object labeling in the segmentation step is presented. The architecture is specifically optimized for very low latency between image component capture by a camera and the detection in hardware. This latency constitutes only a few delay lines, thereby shortening the response time by a few orders of magnitude in comparison to traditional frame-buffer based methods.