NDLI: Fast single shot multibox detector and its application on vehicle counting system

Content Provider	IET Digital Library
Author	Chen, Lili Zhang, Zhengdao Peng, Li
Abstract	Real-time vehicle detection and counting of multiple types is a difficult problem. To solve this problem, this study presents an efficient method based on single shot detection (SSD) to construct a vehicle detection and counting system. The proposed method named Fast-SSD first combines the Slim ResNet-34 with Single Shot MultiBox Detector. Then the authors limit the location prediction at each cell in the feature map and modify the detection network. When the input size of the picture is 300 × 300, Fast-SSD achieves the accuracy of 76.7 mAP on the PASCAL visual object classes 2007 test set. The network can be implemented at the speed of 20.8 FPS based on the GTX650Ti. Furthermore, they obtain the centre point of each type of vehicle which is detected by the Fast-SSD model in the image and set the virtual loop detectors to specify the detection range. The number of vehicles is calculated when the centre of the vehicle passes the virtual loop detector. Results show that the vehicle detection accuracy achieves 99.3% and the classification accuracy is 98.9%.
Starting Page	1406
Ending Page	1413
Page Count	8
ISSN	1751956X
Volume Number	12
e-ISSN	17519578
Issue Number	Issue 10, Dec (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/12/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5005
Journal	IET Intelligent Transport Systems
Publisher Date	2018-09-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Detection Range Specification Fast Single Shot Multibox Detector Fast-SSD Model Feature Extraction Feature Map And GTX650Ti Image Classification Image Recognition Object Detection PASCAL Visual Object Classes 2007 Test Real-time Vehicle Detection Road Vehicle Single Shot Detection Slim ResNet-34 Traffic Engineering Computing Vehicle Counting System Virtual Loop Detector Visual Database
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Scale specified single shot multibox detector

Small vehicles detection based on UAV

Accurate and fast single shot multibox detector

Synthetical application of multi-feature map detection and multi-branch convolution

Water surface object detection using panoramic vision based on improved single-shot multibox detector

Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

Research on subway pedestrian detection algorithms based on SSD model

Automated Meter Reading Detection Using Inception with Single Shot Multi-Box Detector

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

Fast single shot multibox detector and its application on vehicle counting system

Similar Documents

Scale specified single shot multibox detector

Small vehicles detection based on UAV

Accurate and fast single shot multibox detector

Synthetical application of multi-feature map detection and multi-branch convolution

Water surface object detection using panoramic vision based on improved single-shot multibox detector

Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

Research on subway pedestrian detection algorithms based on SSD model

Automated Meter Reading Detection Using Inception with Single Shot Multi-Box Detector

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

Fast single shot multibox detector and its application on vehicle counting system