Spatial Audio Attention Model Based Surveillance Event Detection

Hang B, Hu R, Tu W, Wang X. Spatial Audio Attention Model Based Surveillance Event Detection. In: AES Convention 129. Audio Engineering Society; 2010. Paper 8275. Available from: https://aes.org/publications/elibrary-page/?id=15697

@inproceedings{Hang2010_15697,
  author = {Hang, Bo and Hu, Ruimin and Tu, Weiping and Wang, Xiaochen},
  title = {{Spatial Audio Attention Model Based Surveillance Event Detection}},
  booktitle = {AES Convention 129},
  note = {Paper 8275},
  year = {2010},
  month = nov,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15697}
}

TY  - CPAPER
TI  - Spatial Audio Attention Model Based Surveillance Event Detection
AU  - Hang, Bo
AU  - Hu, Ruimin
AU  - Tu, Weiping
AU  - Wang, Xiaochen
T2  - AES Convention 129
M1  - Paper 8275
PY  - 2010
DA  - 2010/11/06
UR  - https://aes.org/publications/elibrary-page/?id=15697
PB  - Audio Engineering Society
LA  - en
AB  - In this paper, we propose a bottom-up audio attention model based on spatial audio cues and sub band energy change for unsupervised event detection in stereo audio surveillance. Firstly, the spatial audio parameter Interaural Level Difference (ILD) is extracted to calculate and represent the attention events, which are caused by rapid moving sound source. Then the sub band energy change is computed to present the salient energy distribution change in frequency domain. At last, an environment adaptive normalization is used to assess the normalized attention level. Experimental results demonstrate that the proposed audio attention model is effective for audio surveillance event detection.
ER  -