A multi-task convolutional neural network with spatial transform for parking space detection

Hoang Tran Vu, Ching-Chun Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Vacant parking space detection is a challenging vision task due to outdoor lighting variation and perspective distortion. Previous methods found on camera geometry and projection matrix to select space image region for status classification. By utilizing suitable hand-crafted features, outdoor lighting variation and perspective distortion could be well handled. However, if also considering parking displacement, non-unified car size, and inter-object occlusion, we find the problem becomes more troublesome. To overcome these problems, we propose a deep learning framework to infer the parking status with two contributions. First, we integrate a convolutional spatial transformer network (STN) to crop the local image area adaptively according to car size and parking displacement. Second, in order to solve inter-object occlusion problems, we group 3 neighboring spaces as a unit. A multi-task loss function is designed to consider the status estimation of the target space and its two neighbors jointly. With the loss function, we could force our network to learn occlusion patterns while estimating space status. The results show our system can reduce the error detection rate and thereby increase system accuracy.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PublisherIEEE Computer Society
Pages1762-1766
Number of pages5
ISBN (Electronic)9781509021758
DOIs
StatePublished - 20 Feb 2018
Event24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China
Duration: 17 Sep 201720 Sep 2017

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2017-September
ISSN (Print)1522-4880

Conference

Conference24th IEEE International Conference on Image Processing, ICIP 2017
CountryChina
CityBeijing
Period17/09/1720/09/17

Keywords

  • CNN
  • Deep learning
  • Parking space detection
  • Spatial transformer network

Fingerprint Dive into the research topics of 'A multi-task convolutional neural network with spatial transform for parking space detection'. Together they form a unique fingerprint.

Cite this