多台攝影機監視系統下的多角度人臉偵測

Multi-View Face Detection Based on 3-D Position Estimation over Multi-Camera Surveillance Systems

黃敬群(Ching-Chun Huang) ； 周節(Jay Chou) ； 王聖智(Sheng-Jyh Wang)

《前瞻科技與管理》 2卷1期 (2012/05) Pp. 37-51

摘要

在這篇論文中，我們提出一套應用於多台攝影機之多角度人臉偵測系統。此系統可根據多攝影機擷取的影像，偵測出影像中的人臉位置，並得到在三維空間中人臉方向的鳥瞰圖。有別於以往的作法，我們並不在二維的影像中直接做搜尋與偵測、或是將這些在二維影像中的偵測結果投影到三維空間中做結合。我們的系統直接在三維空間中進行搜尋，並將三維空間中，可能的頭部位置投影回二維影像中加以比對處理，藉以判斷在此三維空間中是否存在人臉，並判斷人臉方向。這樣的做法使我們的系統可以有效地結合多攝影機中的二維影像資訊，並可避免以往因在二維影像中的錯誤偵測所導致的資訊整合不確定性。此方法即便在畫面中出現遮蔽現象仍能夠有效進行人臉以及其方向之偵測。

關鍵字

人臉偵測 ； 多角度人臉偵測 ； 多攝影機監控系統 ； 影像資訊融合

並列摘要

In this paper, we propose a multi-view face detection system that locates head positions and indicates the direction of each face in 3-D space over a multi-camera surveillance system. To locate 3-D head positions, conventional methods relied on face detection in 2-D images and projected the face regions back to 3-D space for correspondence. However, the inevitable false face detection and rejection usually degrades the system performance. Instead, our system searches for the heads and face directions over the 3-D space using a sliding cube. Each searched 3-D cube is projected onto the 2-D camera views to determine the existence and direction of human faces. Moreover, a pre-process to estimate the locations of candidate targets is illustrated to speed-up the searching process over the 3-D space. In summary, our proposed method can efficiently fuse multi-camera information and suppress the ambiguity caused by detection errors. Our evaluation shows that the proposed approach can efficiently indicate the head position and face direction on real video sequences even under serious occlusion.

並列關鍵字

face detection ； multi-view face detection ； multi-camera surveillance system ； imageinformation fusion

參考文獻

Fleuret, F.(2008).Multicamera People Tracking with a Probabilistic Occupancy Map.IEEE Transactions on Pattern Analysis and Machine Intelligence.30,267-282.

Huang, C.(2005).Vector Boosting for Rotation Invariant Multi-View Face Detection.Proceedings of the Tenth IEEE International Conference on Computer Vision.(Proceedings of the Tenth IEEE International Conference on Computer Vision).:

Huang, C-C,Wang, S-J(2009).Moving Targets Labeling and Correspondence Over Multi-Camera Surveillance System Based on Markov Network.Proceedings of the IEEE International Conference on Multimedia and Expo.(Proceedings of the IEEE International Conference on Multimedia and Expo).:

Jones, M.J.,Viola, P.(2003).Fast Multi-View Face Detection.Technical Report TR2003-96.(Technical Report TR2003-96).,::Mitsubishi Electric Research Laboratories.

Kaewtrakulpong, P.,Bowden, R.(2001).An Improved Adaptive Background Mixture Model for Real-Time Tracking with Shadow Detection.Proceedings of the 2nd European Workshop on Advanced Video Based Surveillance Systems.(Proceedings of the 2nd European Workshop on Advanced Video Based Surveillance Systems).: