Abstract
Monitoring of public and private places is of great importance for security of people and is usually done by means of surveillance cameras. In this paper we propose an approach for monitoring of roads, to detect car crashes and tire skidding, based on the analysis of sound signals, which can complement or, in some cases, substitute video analytic systems. The system that we propose employs a MobileNet deep architecture, designed to efficiently run on embedded appliances and be deployed on distributed systems for road monitoring. We designed a recognition system based on analysis of audio frames and tested it on the publicly available MIVIA road events data set. The performance results that we achieved (recognition rate higher than 99%) are higher than existing methods, demonstrating that the proposed approach can be deployed on embedded devices in a distributed surveillance system.
Original language | English |
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Title of host publication | Image Analysis and Processing – ICIAP 2019 |
Subtitle of host publication | 20th International Conference |
Editors | Elisa Ricci, Samuel Rota Bulò, Cees Snoek, Oswald Lanz, Stefano Messelodi, Nicu Sebe |
Publisher | Springer |
Pages | 583-592 |
Number of pages | 10 |
ISBN (Electronic) | 978-3-030-30645-8 |
ISBN (Print) | 978-3-030-30644-1 |
DOIs | |
Publication status | Published - 2 Sept 2019 |
Externally published | Yes |
Event | 20th International Conference on Image Analysis and Processing, ICIAP 2019 - Trento, Italy Duration: 9 Sept 2019 → 13 Sept 2019 Conference number: 20 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11752 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 20th International Conference on Image Analysis and Processing, ICIAP 2019 |
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Abbreviated title | ICIAP 2019 |
Country/Territory | Italy |
City | Trento |
Period | 9/09/19 → 13/09/19 |
Keywords
- Audio event detection
- Deep learning
- MobileNet
- n/a OA procedure