A preliminary study on view independent panoptic scene change detection

Jiaxin Li; Yasutomo Kawanishi; Daisuke Deguchi; Hiroshi Murase

doi:10.1117/12.2666872

25 March 2023 A preliminary study on view independent panoptic scene change detection

Jiaxin Li, Yasutomo Kawanishi, Daisuke Deguchi, Hiroshi Murase

Proceedings Volume 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023; 1259204 (2023) https://doi.org/10.1117/12.2666872
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023, Jeju, Korea, Republic of

Abstract

Exploring the indoor environment and finding unknown objects that appeared in a scene are important for research of scene understanding by a robot. However, background subtraction is traditionally used for segmenting unknown object regions, and it cannot be directly used for a moving camera on the robot. In this paper, we propose a task called view-independent panoptic scene change detection, which is the task of segmenting unknown object regions by comparing two images from different viewpoints before and after the objects appear. In this paper, we propose a method for segmenting unknown object regions by modeling a segmented known instance region as background. For the background modeling, we introduce two methods: histogram-based and deep metric-learning-based methods. In addition, we create a new panoptic scene change detection dataset consisting of images taken from different camera views. Through experiments, we confirm that the proposed method can segment regions of unknown class instances; the deep metric-learning-based method performs more accurately than the histogram-based method, achieving good performance on the change detection dataset.

Citation Download Citation

Jiaxin Li, Yasutomo Kawanishi, Daisuke Deguchi, and Hiroshi Murase "A preliminary study on view independent panoptic scene change detection", Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023, 1259204 (25 March 2023); https://doi.org/10.1117/12.2666872

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KEYWORDS

Image segmentation

RGB color model

Education and training

Histograms

Feature extraction

Modeling

Cameras

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