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Vehicle Make and Model Recognition (VMMR) plays an important role in Intelligent Transportation Systems. Due to the increase in volume and diversity of vehicles on the road, traffic monitoring has become both important and difficult. Several cues could be used in VMMR. Examples include salient features extracted from vehicle representing the shape of different parts or logo detection and recognition...
We present a novel method to fuse the output of multiple discrimination algorithms for the purpose of landmine detection using Ground Penetrating Radar (GPR). The proposed fusion method is based on a neuro-fuzzy architecture employing Multiple Instance Fuzzy Inference, called Multiple Instance Adaptive Neuro Fuzzy Inference System (MI-ANFIS). Multiple Instance Fuzzy Inference is a generalization of...
The Edge Histogram Detector (EHD) is a well-researched and tested algorithm that has been integrated into fielded systems for landmine detection using Ground Penetrating Radar (GPR) sensor. It uses edge histogram based features and a possibilistic K-Nearest Neighbors (KNN) classifier. Due to the inherent static data representation and static classifier architecture, the EHD may not be very effective...
Multiple instance learning (MIL) is a technique used for learning a target concept in the presence of noise or in a condition of uncertainty. While standard learning techniques present the learner with individual samples, MIL alternatively presents the learner with sets of samples. Although sets are the primary elements used for analysis in MIL, research in this area has focused on using standard...
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