HIGHLIGHTS
- who: Ruxandra Tapu and collaborators from the Telecommunication Department, Faculty of ETTI, University "Politehnica" of Bucharest have published the research work: DEEP-SEE: Joint Object Detection, Tracking and Recognition with Application to Visually Impaired Navigational Assistance, in the Journal: (JOURNAL)
- what: The authors propose a novel joint object detection/tracking/recognition framework, called DEEP-SEE, based on computer vision algorithms and offline trained deep convolutional neural_networks. The authors show how an adaptive visual appearance model can be constructed on-the-fly, without the need of any on-line learning procedures. The authors focus the attention . . .
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