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Detecting actions or verbs in still images is a challenging problem for a variety of reasons such as the absence of temporal information and polysemy of verbs which lead to difficulty in generating large verb datasets. In this paper, we propose to first detect the prominent objects in the image and then infer the relevant actions or verbs using Natural Language Processing (NLP)-based techniques. The...
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...
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