Fast Multi Object Detection and Counting by YOLO V3
Author:
Affiliation:
1. Shandong University,School of Control Science and Engineering,Jinan,China
Funder
Nature
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9727224/9727236/09727949.pdf?arnumber=9727949
Reference15 articles.
1. Analysis of moving object detection and tracking in video surveillance system;verma;2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom),2015
2. A new quality model for object detection using compressed videos
3. Architectural Study of HOG Feature Extraction Processor for Real-Time Object Detection
4. Estimating Crowd Density in an RF-Based Dynamic Environment
5. Object Detection and Count of Objects in Image using Tensor Flow Object Detection API
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