Contextual Object Detection with a Few Relevant Neighbors

Ehud Barnea, Ohad Ben-Shahar

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

תקציר

A natural way to improve the detection of objects is to consider the contextual constraints imposed by the detection of additional objects in a given scene. In this work, we exploit the spatial relations between objects in order to improve detection capacity, as well as analyze various properties of the contextual object detection problem. To precisely calculate context-based probabilities of objects, we developed a model that examines the interactions between objects in an exact probabilistic setting, in contrast to previous methods that typically utilize approximations based on pairwise interactions. Such a scheme is facilitated by the realistic assumption that the existence of an object in any given location is influenced by only few informative locations in space. Based on this assumption, we suggest a method for identifying these relevant locations and integrating them into a mostly exact calculation of probability based on their raw detector responses. This scheme is shown to improve detection results and provides unique insights about the process of contextual inference for object detection. We show that it is generally difficult to learn that a particular object reduces the probability of another, and that in cases when the context and detector strongly disagree this learning becomes virtually impossible for the purposes of improving the results of an object detector. Finally, we demonstrate improved detection results through use of our approach as applied to the PASCAL VOC and COCO datasets.

שפה מקוריתאנגלית אמריקאית
כותר פרסום המארחComputer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers
עורכיםHongdong Li, Konrad Schindler, C.V. Jawahar, Greg Mori
מוציא לאורSpringer Verlag
עמודים480-495
מספר עמודים16
מסת"ב (מודפס)9783030208899
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 1 ינו׳ 2019
אירוע14th Asian Conference on Computer Vision, ACCV 2018 - Perth, אוסטרליה
משך הזמן: 2 דצמ׳ 20186 דצמ׳ 2018

סדרות פרסומים

שםLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
כרך11362 LNCS

כנס

כנס14th Asian Conference on Computer Vision, ACCV 2018
מדינה/אזוראוסטרליה
עירPerth
תקופה2/12/186/12/18

ASJC Scopus subject areas

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  • ???subjectarea.asjc.1700.1700???

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