Events Detection for an Audio-Based Surveillance System
By Chloé Clavel, T. Ehrette, Gaël Richard. IEEE International Conference on Multimedia and Expo, 2005
371 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/1e805ffeb95129daba22b31b037975de2df5b757
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Tuomas Virtanen
- Annamaria Mesaros
- Toni Heittola
- Héctor A. Sánchez-Hevia
- Roberto Gil-Pita
- Manuel Rosa-Zurera
- David Ayllón
In Computer Vision and Pattern Recognition
- Tuomas Virtanen
- Toni Heittola
- Annamaria Mesaros
- Héctor A. Sánchez-Hevia
- Roberto Gil-Pita
- Manuel Rosa-Zurera
- David Ayllón
- Justin Salamon
In Signal Processing
- Tuomas Virtanen
- Toni Heittola
- Annamaria Mesaros
- Antti J. Eronen
- Justin Salamon
- Eduardo Fonseca
- Bhiksha Raj
- Xavier Serra
Citations in the corpus
- Metrics for Polyphonic Sound Event Detection (2016, background): “It has many applications in surveillance for security, healthcare and wildlife monitoring [1–7], and audio and video content based indexing and retrieval [8–10].”
- Acoustic event detection in real life recordings (2010, background): “Audio event detection can find a use also in healthcare monitoring for elderly people [8] or audio-based surveillance [1].”
- Maximum Likelihood Decision Fusion for Weapon Classification in Wireless Acoustic Sensor Networks (2017, methodology): “Trained in Matlab using libSVM [46] in ν-SVC mode with probability estimates enabled.”