Multi-sensory Features for Personnel Detection at Border Crossing
نویسندگان
چکیده
Personnel detection at border crossing becomes an important issue recently. To reduce the false alarm caused by nonhuman animals or the existence of multiple objects, it is important to discriminate between humans and nonhuman animals. In this paper, based on phenomenology of the differences between humans and four-legged animals, we propose using enhanced autocorrelation pattern for feature extraction for seismic sensors, a multi-stage feature selection framework for acoustic sensors. Along with ultrasonic sensors, we use decision fusion for multi-modality fusion and use Gaussian Mixture Models for classification. From experimental results, we show that our proposed methods improve the robustness of the system.
منابع مشابه
Sexual risk behavior among military personnel stationed at border-crossing zones in the Dominican Republic.
OBJECTIVE To estimate the prevalence of sexual risk behaviors among military personnel stationed along major border-crossing zones between the Dominican Republic and Haiti. METHODS From November 2008 to January 2009, behavioral surveys were administered to 498 active duty military personnel stationed along the three largest border-crossing zones on the western border of the Dominican Republic...
متن کاملA New Algorithm for Skin Lesion Border Detection in Dermoscopy Images
Background: With advances in medical imaging systems, digital dermoscopy has become one of the major imaging modalities in the analysis of skin lesions. Thus, automated segmentation or border detection has a great impact on the subsequent steps of skin cancer computer-aided diagnosis using demoscopy images. Since dermoscopy images suffer from artifacts such as shading and hair, there is a need ...
متن کاملInformal International Border Crossing, Refugee and Illegal Migrant Workers: Issue in Travel Medicine
متن کامل
MNEs as border-crossing multi-location enterprises: The role of discontinuities in geographic space
Received: 18 March 2013 Revised: 19 April 2013 Accepted: 21 April 2013 Abstract Spurred by the classic work of Dunning, MNE location has become the focus of a growing body of research in the field. In this paper we argue that international business (IB) research examining the spatial dimension has serious weaknesses, stemming from its traditional assumption of the country as the location unit o...
متن کاملMulti-View Face Detection in Open Environments using Gabor Features and Neural Networks
Multi-view face detection in open environments is a challenging task, due to the wide variations in illumination, face appearances and occlusion. In this paper, a robust method for multi-view face detection in open environments, using a combination of Gabor features and neural networks, is presented. Firstly, the effect of changing the Gabor filter parameters (orientation, frequency, standard d...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011