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نتیجه جستجو - First camera person vision

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1 Improved scene identification and object detection on egocentric vision of daily activities
شناسایی صحنه و تشخیص شی در دیدگاه خودمدار از فعالیت های روزانه-2017
Article history:Received 16 December 2015Revised 26 September 2016Accepted 19 October 2016Available online 21 October 2016Keywords:Scene classification Object detection Scene understandingFirst camera person visionThis work investigates the relationship between scene and associated objects on daily activities under egocentric vision constraints. Daily activities are performed in prototypical scenes that share a lot of vi- sual appearances independent of where or by whom the video was recorded. The intrinsic characteristics of egocentric vision suggest that the location where the activity is conducted remains consistent through- out frames. This paper shows that egocentric scene identification is improved by taking the temporal context into consideration. Moreover, since most of the objects are typically associated with particular types of scenes, we show that a generic object detection method can also be improved by re-scoring the results of the object detection method according to the scene content. We first show the case where the scene identity is explicitly predicted to improve object detection, and then we show a framework using Long Short-Term Memory (LSTM) where no labeling of the scene type is needed. We performed exper- iments in the Activities of Daily Living (ADL) public dataset (Pirsiavash and Ramanan,2012), which is a standard benchmark for egocentric vision.© 2016 Elsevier Inc. All rights reserved.
Keywords: Scene classification | Object detection | Scene understanding | First camera person vision
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