Surveillance Audio Attention Model Based on Spatial Audio Cues

  • Authors:
  • Bo Hang;Ruimin Hu;Yuhong Yang;Ye Ma;Jun Chang

  • Affiliations:
  • Mathematics and Computer Science College, Xiangfan University, Xiangfan, China 441053 and National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, China 430072;National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, China 430072;National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, China 430072;National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, China 430072;Computer School, Wuhan University, Wuhan, China 430072

  • Venue:
  • PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

For stereo audio surveillance in complex environment, we proposed a bottom-up audio attention model based on spatial audio cues analysis, and an environment adaptive normalization method. The traditional audio attention models are based on mono audio characters, such as energy, energy peak, or pitch. Their performance is limited by neglecting the spatial information. The spatial cues in audio stream provide additional information for attention analysis. And the dynamic updated background sound can help to reduce the environment effect. The preliminary experiment showed that the proposed model is an effective way to analyzing attention events, which is caused by rapid moving sound source, in stereo audio stream.