Convolutional Neural Network for Person Detection using YOLO Framework
Keywords:ADAS, CNN, FPPI, YOLO,
AbstractIn this paper we present a real-time person detection system suitable for use in Intelligent Car or Advanced Driver Assistance System (ADAS). The system is based on modified You only Look Once (YOLO) which uses 7 convolutional neural network layers. The experimental results demonstrate that the accuracy of the person detection system is reliable for real time operation. The performance of the detection is benchmarked using the standard testing datasets from Caltech and measured using Piotr’s Matlab Toolbox. The results benchmarking is emphasizing on the performance of false positive per image (FPPI) over the miss rate. ADAS demands both relatively good detection and accuracy in order to work in real time operation. A good detection result is marked by achieving low miss rate and low FPPI. This requirement was achieved by the modified YOLO with 28.5%, 26.4% and 22.7% miss rate at 0.1 FPPI and believed to be an excellent candidate for use in ADAS.
P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. “Object detection with discriminatively trained part based models” IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9):1627–1645, 2010.
N. Dalal and B. Triggs. “Histograms of oriented gradients for human detection”. In CVPR, 2005.
D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov. “Scalable object detection using deep neural networks” In CVPR, 2014.
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Y. Fu, Alexander C. Berg. “SSD: Single Shot MultiBox Detector” arXiv:1512.02325v5 [cs.CV], Dec. 2015.
R. Girshick, J. Donahue, T. Darrell, and J. Malik. “Rich feature hierarchies for accurate object detection and semantic segmentation” In CVPR, 2014.
R. Girshick. “Fast R-CNN” arXiv preprint arXiv:1504.08083, 2015.
S. Ren, K. He, R. Girshick, and J. Sun. “Faster R-CNN: Towards realtime object detection with region proposal networks” arXiv preprint arXiv:1506.01497, 2015.
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. “You only look once: Unified, real-time object detection” arXiv preprint arXiv: 1506.02640, 2015.
M. Everingham, L. Van Gool, C. K. I.Williams, J.Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results, 2007.
M. Everingham, L. Van Gool, C. K. I.Williams, J.Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2010 (VOC2010) Results, 2010.
P. Dollár, C. Wojek, B. Schiele and P. Perona “Pedestrian Detection: An Evaluation of the State of the Art” PAMI, 2012.
Paul Viola and Michael J Jones. “Robust real-time face detection” IJCV, 57(2):137–154, 2004.
C. Chen, A. Seff, A. Kornhauser and J. Xiao. “DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving” Proceedings of 15th IEEE International Conference on Computer Vision ICCV, 2015.
J. E. Hoo, and K. C. Lim. “Accuracy and Error Study Of Horizontal and Vertical Measurements with Single View Metrology for Road Surveying” ARPN Journal of Engineering and Applied Sciences. 11(12):7872-6, 2016.
Yonglong Tian, Ping Luo, Xiaogang Wang, and Xiaoou Tang. “Pedestrian detection aided by deep learning semantic tasks” In CVPR, 2015.
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