NDLI: Improving egocentric vision of daily activities

Content Provider	IEEE Xplore Digital Library
Author	Vaca-Castano, G. Das, S. Sousa, J.P.
Copyright Year	2015
Description	Author affiliation: Center for Res. in Comput. Vision, Univ. of Central Florida, Orlando, FL, USA (Vaca-Castano, G.) \|\| Bosch Res. & Technol., Pittsburgh, PA, USA (Das, S.; Sousa, J.P.)
Abstract	In this paper, we investigates the interplay between scene and objects on daily activities under egocentric vision constraints. The nature of egocentric vision implies that the identity of the current scene remains consistent for several frames. We showed that this constraint can be used to improve several scene identification baselines including the current state of the art scene identification method. We also show that the scene identity can be used to improve the object detection. In generic object detection, models for objects typically only considers local context, ignoring the global scene context; however in daily activities, objects are typically associated to particular types of scenes. We exploited this context clue to re-score the object detectors. Re-scoring function is learned from scene classifiers and object detectors in a validation set. In testing time, models of objects are weighted according to the scene identity score (context) of the tested frame, improving the object detection as measured by mAP, respect to object detectors without the scene identity clue. Our experiments were performed in the Activities of Daily Living (ADL) public dataset [1] which is a standard benchmark for egocentric vision.
Starting Page	2562
Ending Page	2566
File Size	637383
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351265
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object detection Detectors Context Microwave theory and techniques Cameras Object recognition Training Object Detection Egocentric vision Activities of Daily Living Scene Identification
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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