Journal of Geo-information Science >
A Method of Abnormal Behavior Detection in Interrogation Room Based on Video Analysis Combined with Micro-spatial Environment
Received date: 2013-08-26
Request revised date: 2013-11-29
Online published: 2014-07-10
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The detection of anomalous human behaviors has received tremendous attention in the research of intelligent video analysis. However, most of existing methods for anomaly analysis are based on image space, and abundant information in the geographical space goes unused. In fact, human activities are closely related to geographical spaces, and different scenario types may correspond to different classes of human behaviors. So, in this paper we chose interrogation room as a representative of the micro-spatial environment and conducted a study on the anomaly detection of extorting confessions by torture, considering the spatial constraints. Firstly, the concept of behavioral variables has been stated, and then behavioral variables and their classes of extorting confessions by torture have been deeply analyzed. Secondly, the video characters of behavioral variables of extorting confessions by torture have been discussed and their corresponding detection models have further been designed. Plus, a bi-directional mapping model between the geographical space and the image space has been constructed according to vanishing points. This proposed mapping method can effectively avoid the calculation of intrinsic and extrinsic camera parameters. Based on above, a hierarchical and classified strategy for anomaly detection of extorting confessions by torture has been developed, considering the spatial constraints to human behaviors without learning and training processes. At last, the presented method in this paper is tested and verified by a series of simulated experiments.
HU Jiapei , WANG Xiaoyong , LIU Xuejun* . A Method of Abnormal Behavior Detection in Interrogation Room Based on Video Analysis Combined with Micro-spatial Environment[J]. Journal of Geo-information Science, 2014 , 16(4) : 545 -552 . DOI: 10.3724/SP.J.1047.2014.00545
Fig.1 Behavior types of extorting confessions by torture图1 刑讯逼供行为类型 |
Fig.2 Alert area options in interrogation room图2 审讯室场景警戒区域设置 |
Fig.3 Mapping results from geographical space to image space图3 场景到视频映射结果 |
Fig.4 Flow chart of anomaly detection in interrogation room considering spatial constraints图4 顾及场景约束的审讯室异常行为检测算法流程图 |
Fig.5 User interface of our system图5 系统主界面 |
Fig.6 Startup interface of the behavioral recognition图6 行为识别启动界面 |
Fig.7 Recognition results of serious violence图7 重暴力行为识别结果 |
Fig.8 Recognition results of mild violence图8 轻暴力行为识别结果 |
The authors have declared that no competing interests exist.
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