Fast FPGA-Based Multiobject Feature Extraction
Fast FPGA-Based Multiobject Feature Extraction
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DOI：
10.1109/tcsvt.2012.2202195
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发表时间：
2013-01-01
影响因子：
8.4
通讯作者：
Ishii, Idaku
中科院分区：
文献类型：
--
作者：
Gu, Qingyi;Takaki, Takeshi;Ishii, Idaku
本文描述了一种高帧率（HFR）视觉系统，该系统通过在基于现场可编程门阵列的高速视觉平台上实现基于单元的多目标特征提取算法作为硬件逻辑，可以在2000 f/s的512 × 512图像中提取图像中多个目标的位置和特征。在该算法的硬件实现中，通过将图像划分为8x8单元，同时计算零阶矩和一阶矩，可以同时提取图像中1024个物体的25个高阶局部自相关特征进行多目标识别，从而获得多个物体的大小和位置。我们开发的HFR多目标提取系统通过几个实验进行了验证：跟踪以16 r/s旋转的多个对象，识别以1000 f/s投影的多个模式，以及识别具有快速手指运动的人类手势。
This paper describes a high-frame-rate (HFR) vision system that can extract locations and features of multiple objects in an image at 2000 f/s for 512x512 images by implementing a cell-based multiobject feature extraction algorithm as hardware logic on a field-programmable gate array-based high-speed vision platform. In the hardware implementation of the algorithm, 25 higher-order local autocorrelation features of 1024 objects in an image can be simultaneously extracted for multiobject recognition by dividing the image into 8x8 cells concurrently with calculation of the zeroth and first-order moments to obtain the sizes and locations of multiple objects. Our developed HFR multiobject extraction system was verified by performing several experiments: tracking for multiple objects rotating at 16 r/s, recognition for multiple patterns projected at 1000 f/s, and recognition for human gestures with quick finger motion.