Improved occlusion handling for human detection from mobile robot

Hadi, H. S.; Rosbi, M.; Sheikh, Usman Ullah; Amin, Salman

doi:10.1109/sai.2015.7237217

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Fusion is a process of fusing the relevant modalities from several sources into a single image, where the results will be complete and more informative than any of the single image ( [18], [19], [20], [21], [22]). These techniques can enhance the quality and increase the reliability of these data.…”

Section: Previous Workmentioning

confidence: 99%

Fusion of Thermal and Depth Image to Improve Human Segmentation for a Mobile Robot

Hadi

Rosbi

Sheikh

2022

J. Phys.: Conf. Ser.

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In machine vision, surveillance systems are a kind of security that concentrates on the safety of the human and property. One of the main tasks of a surveillance system is the detection of humans. This paper presents a system of human detection and the development of a technique of human segmentation using a combination of information thermal and depth in a real indoor setting from a mobile robot. A novel fusion of thermal-depth information (FTDI) is introduced to enhance the efficiency of the segmentation process and expedite processing. In experimental studies, evaluation of the performance for the proposed system is carried out using Ground Truth (GT), in which the proposed system yield is compared to GT. The proposed system performs well with an approximate accuracy of over 90% for all data sets as illustrated in the quantitative results and even outperformed state-of-the-art algorithms. This paper presents the novelty of the work, in which the detection method can improve the classification of persons and their occlusion. The advantages, such as being computationally inexpensive and performs well even under severe occlusion and poor illumination, show that this proposed system is robust.

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Section: Previous Workmentioning

confidence: 99%

Fusion of Thermal and Depth Image to Improve Human Segmentation for a Mobile Robot

Hadi

Rosbi

Sheikh

2022

J. Phys.: Conf. Ser.

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show abstract

“…Fusing multiple sensors to deal with occlusions is Chapter 2. Background Study and Literature Review also proposed in [78,79] where a thermal sensor is used to find a RoI and depth sensor to obtain the actual position. Fusing multiple sensors also increases the robustness of human detection.…”

Section: Human Detectionmentioning

confidence: 99%

Human tracking and path prediction for mobile robot navigation in crowded environment

Bhujel¹

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Depth and Thermal Image Fusion for Human Detection with Occlusion Handling Under Poor Illumination from Mobile Robot

Hasim

Mamat

Sheikh

et al. 2016

Emerging Trends and Advanced Technologies for Computational Intelligence

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Improved occlusion handling for human detection from mobile robot

Cited by 3 publications

References 13 publications

Fusion of Thermal and Depth Image to Improve Human Segmentation for a Mobile Robot

Fusion of Thermal and Depth Image to Improve Human Segmentation for a Mobile Robot

Human tracking and path prediction for mobile robot navigation in crowded environment

Depth and Thermal Image Fusion for Human Detection with Occlusion Handling Under Poor Illumination from Mobile Robot

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