Scream and gunshot detection and localization for audio-surveillance systems

By G. Valenzise, L. Gerosa, Marco Tagliasacchi, F. Antonacci, A. Sarti. 2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007

390 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/34bc950ec46f0398af8feb1c9861ccaa8931a0b7

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In Computer Vision and Pattern Recognition

In Signal Processing

Citations in the corpus

Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments (2016, background): “Yet, it has a wide range of applications such as multimedia data search, context awareness and activity detection [1–4], security surveillance [5,6], military interest tracking [7], assistive devices for independent living [8], healthcare monitoring [9,10], among others.”
Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection (2019, background): “Recently it has gained popularity [1, 2, 3] due to its numerous applications in surveillance [4, 5], audio content understanding and retrieval [6], context detection [7], and even health monitoring systems [8].”
Semi-supervised Acoustic Event Detection Based on Tri-training (2019, background): “It can be applied in many areas such as surveillance [1, 2], and recommendation systems [3].”
Sound Event Detection Using Point-Labeled Data (2019, background): “Applications include detecting source of noise in cities [1], identifying bird species singing in nature recordings [2], and gunshot detection in city recordings [3].”
A Closer Look at Weak Label Learning for Audio Events (2018, background): “tion of specific audio events such as gunshots and screams for surveillance purposes [16][17].”
Audio event and scene recognition: A unified approach using strongly and weakly labeled data (2016, background): “These include but are not limited to content based indexing and retrieval of multimedia recordi ngs [2], [3], [4], improving human computer (robot) interactio n by making computers (robots) aware of acoustic scene or environment around it [5], [6], surveillance and monitorin g application [7], audio”