An Energy-Efficient Hardware Implementation of HOG-Based Object Detection at 1080HD 60 fps with Multi-Scale Support
An Energy-Efficient Hardware Implementation of HOG-Based Object Detection at 1080HD 60 fps with Multi-Scale Support
复制标题
具有多尺度支持的 1080HD 60 fps 下基于 HOG 的目标检测的节能硬件实现
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
V. Sze
中科院分区：
文献类型：
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作者：
Amr Suleiman;V. Sze
提出了一种实时、节能的多尺度目标检测器硬件实现方案。检测是使用直方图的有向分量（HOG）功能和支持向量机（SVM）分类。多尺度检测对于检测不同尺寸的物体的鲁棒性和实际应用是必不可少的。具有平衡工作负载的并行检测器用于提高吞吐量，从而实现电压缩放和能耗降低。图像预处理也被引入，以进一步降低图像尺度生成的功率和面积成本。该设计可以在60 fps的高清晰度1080 HD视频上实时运行，时钟速率为270 MHz，基于布局后仿真，功耗为45.3 mW（0.36 nJ/像素）。该ASIC采用45 nm SOI CMOS工艺，面积为490 kgates，片上存储器为0.538 Mbit。
A real-time and energy-efficient multi-scale object detector hardware implementation is presented in this paper. Detection is done using Histogram of Oriented Gradients (HOG) features and Support Vector Machine (SVM) classification. Multi-scale detection is essential for robust and practical applications to detect objects of different sizes. Parallel detectors with balanced workload are used to increase the throughput, enabling voltage scaling and energy consumption reduction. Image pre-processing is also introduced to further reduce power and area costs of the image scales generation. This design can operate on high definition 1080HD video at 60 fps in real-time with a clock rate of 270 MHz, and consumes 45.3 mW (0.36 nJ/pixel) based on post-layout simulations. The ASIC has an area of 490 kgates and 0.538 Mbit on-chip memory in a 45 nm SOI CMOS process.