Gaussian filter for TDOA based sound source localization in multimedia surveillance

• DOI: 10.1007/s11042-017-5129-4
• Publication Date: 2017-09-01T23:46:41Z
• Authors: Mengyao Zhu; Huan Yao; Xiukun Wu; Zhihua Lu; Xiaoqiang Zhu; Qinghua Huang
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

Although multimedia surveillance systems are becoming increasingly ubiquitous in our living environment, automated multimedia surveillance systems based on video camera lacks the robustness and reliability most of the time in several real applications. To overcome this drawback, audio sensory devices have been taken into account in a considerable amount of research. For example, Sound Source Localization (SSL) may indicate potential security risks and could point the camera in that direction. In this paper, a reliable sound source localization based on Time-Difference-Of-Arrival (TDOA) is explored. The novel aspect of our approach includes a TDOA based Gaussian filter to improve the accuracy and stability of sound source localization. The advantage of our proposed algorithm is its extensive integration with various TDOA-based methods in all kinds of microphone array. The Experimental comparison shows significant improvement over the state of the art TDOA-based algorithm.