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A Flexible Parallel Hardware Architecture for AdaBoost-Based Real-Time Object Detection

机译：基于adaBoost的实时目标检测的灵活并行硬件架构

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Christos Kyrkou; Theocharis Theocharides;
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年度 2011
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1. A Flexible Parallel Hardware Architecture for AdaBoost-Based Real-Time Object Detection [J] . Kyrkou C., Theocharides T. Very Large Scale Integration (VLSI) Systems, IEEE Transactions on . 2011,第6期

机译：灵活的并行硬件架构，用于基于AdaBoost的实时对象检测
2. A Parallel Hardware Architecture for Real-Time Object Detection with Support Vector Machines [J] . Kyrkou C. Computers, IEEE Transactions on . 2012,第6期

机译：支持向量机的实时目标检测并行硬件架构
3. A Hardware Architecture for Real-Time Object Detection Using Depth and Edge Information [J] . CHRISTOS KYRKOU, CHRISTOS TTOFIS, THEOCHARIS THEOCHARIDES ACM Transactions on Embedded Computing Systems . 2014,第3期

机译：使用深度和边缘信息进行实时目标检测的硬件架构
4. A Hardware-based Architecture to Support Flexible Real-Time Parallel Intrusion Detection [C] . Mott Stephen, Hart Samuel, Montminy David, IEEE International Conference on System of Systems Engineering . 2007

机译：基于硬件的架构，支持灵活的实时并行入侵检测
5. A near real-time, highly scalable, parallel and distributed adaptive object detection and re-training framework based on the AdaBoost algorithm [D] . Abualkibash, Munther 2015

机译：基于AdaBoost算法的近实时，高度可扩展，并行和分布式的自适应对象检测和再训练框架
6. T-RexNet—A Hardware-Aware Neural Network for Real-Time Detection of Small Moving Objects [O] . Alessio Canepa, Edoardo Ragusa, Rodolfo Zunino, 2021

机译：T-RexNet - 用于实时检测小型移动物体的硬件感知神经网络
7. A hardware architecture for real-time object detection using depth and edge information [O] . Christos Kyrkou, Christos Ttofis, Theocharis Theocharides 2013

机译：利用深度和边缘信息进行实时目标检测的硬件体系结构

A Flexible Parallel Hardware Architecture for AdaBoost-Based Real-Time Object Detection

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