A Novel Dataset For Intelligent Indoor Object Detection Systems
作者机构：Laboratory of Electronics and Microelectronics(EμE)Faculty of Sciences of MonastirUniversity of MonastirTunisia Electrical Engineering DepartmentCollege of EngineeringNorthern Border UniversityArarSaudi Arabia LITISEA4108&CNRS FR 3638University of Rouen Normandy RouenFrance
出 版 物：《Artificial Intelligence Advances》 (人工智能进展（英文）)
年 卷 期：2019年第1卷第1期
页 面：52-58页
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学]
主 题：Indoor object detection and recognition Indoor image dataset Visually Impaired People(VIP) Idoor navigation
摘 要：Indoor Scene understanding and indoor objects detection is a complex high-level task for automated systems applied to natural ***,such a task requires huge annotated indoor images to train and test intelligent computer vision *** of the challenging questions is to adopt and to enhance technologies to assist indoor navigation for visually impaired people(VIP)and thus improve their daily life *** paper presents a new labeled indoor object dataset elaborated with a goal of indoor object detection(useful for indoor localization and navigation tasks).This dataset consists of 8000 indoor images containing 16 different indoor landmark objects and *** originality of the annotations comes from two new facts taken into account:(1)the spatial relationships between objects present in the scene and(2)actions possible to apply to those objects(relationships between VIP and an object).This collected dataset presents many specifications and strengths as it presents various data under various lighting conditions and complex image background to ensure more robustness when training and testing objects *** proposed dataset,ready for use,provides 16 vital indoor object classes in order to contribute for indoor assistance navigation for VIP.
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