Enhanced Vehicle Re-identification for ITS: A Feature Fusion approach using Deep Learning

08/13/2022
by   Ashutosh Holla B, et al.
9

In recent years, the development of robust Intelligent transportation systems (ITS) is tackled across the globe to provide better traffic efficiency by reducing frequent traffic problems. As an application of ITS, vehicle re-identification has gained ample interest in the domain of computer vision and robotics. Convolutional neural network (CNN) based methods are developed to perform vehicle re-identification to address key challenges such as occlusion, illumination change, scale, etc. The advancement of transformers in computer vision has opened an opportunity to explore the re-identification process further to enhance performance. In this paper, a framework is developed to perform the re-identification of vehicles across CCTV cameras. To perform re-identification, the proposed framework fuses the vehicle representation learned using a CNN and a transformer model. The framework is tested on a dataset that contains 81 unique vehicle identities observed across 20 CCTV cameras. From the experiments, the fused vehicle re-identification framework yields an mAP of 61.73 standalone CNN or transformer model.

READ FULL TEXT
research
03/12/2019

Learning Feature Aggregation in Temporal Domain for Re-Identification

Person re-identification is a standard and established problem in the co...
research
04/30/2021

Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras

Vehicle Re-identification aims to identify a specific vehicle across tim...
research
12/20/2020

Computer Vision based Animal Collision Avoidance Framework for Autonomous Vehicles

Animals have been a common sighting on roads in India which leads to sev...
research
01/04/2019

Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding

In this supplementary material we tackle the problem of vehicle re-ident...
research
11/13/2019

Vehicle Re-identification: exploring feature fusion using multi-stream convolutional networks

This work addresses the problem of vehicle re-identification through a n...
research
11/18/2022

SeaTurtleID: A novel long-span dataset highlighting the importance of timestamps in wildlife re-identification

This paper introduces SeaTurtleID, the first public large-scale, long-sp...
research
09/13/2022

A Distributed Acoustic Sensor System for Intelligent Transportation using Deep Learning

Intelligent transport systems (ITS) are pivotal in the development of su...

Please sign up or login with your details

Forgot password? Click here to reset