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arXiv · 1608.08139

Where is my Phone ? Personal Object Retrieval from Egocentric Images

Abstract

This work presents a retrieval pipeline and evaluation scheme for the problem of finding the last appearance of personal objects in a large dataset of images captured from a wearable camera. Each personal object is modelled by a small set of images that define a query for a visual search engine.The retrieved results are reranked considering the temporal timestamps of the images to increase the relevance of the later detections. Finally, a temporal interleaving of the results is introduced for robustness against false detections. The Mean Reciprocal Rank is proposed as a metric to evaluate this problem. This application could help into developing personal assistants capable of helping users when they do not remember where they left their personal belongings.

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Cristian Reyes, Eva Mohedano, Kevin McGuinness, Noel E. O'Connor, Xavier Giro-i-Nieto. 2016-08-29. Where is my Phone ? Personal Object Retrieval from Egocentric Images. https://arxiv.org/abs/1608.08139

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