Automatic color space switching for robust tracking

Laguzet, Florence; Gouiffès, Michèle; Lacassagne, Lionel; Etiemble, Daniel

doi:10.1109/icsipa.2011.6144157

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…OpenCV and its open resources provide a series of techniques to execute these functions [68], [72]. Contour analysis, Harris corner detection [74]- [76], Canny edges [71], [77], [78], colour space tracking [73], [79], [80] and template matching [81], [82] are usually adopted to perform object tracking, identification and counting which can help to solve numerous issues requiring clarification in the industry field [34], [68], [74], [83]- [85].…”

Section: A Opencv Approaches To Object Classification and Trackingmentioning

confidence: 99%

Warehouse Management Models Using Artificial Intelligence Technology with Application at Receiving Stage – A Review

Yang¹,

Li²,

Rasul³

2021

IJMLC

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This paper reviewed recent literature on inventory management technologies and Artificial Intelligence (AI) applications. The classical Artificial Neural Network (ANN) models and computer vision technology applications for object classification were reviewed in particularly. The challenges of AI technologies in industrial warehouse management, particularly the ANN for solving object classification and counting are discussed. Some researchers reported the use of face recognition, moving vehicle classification and counting, which are easy to recognise objects on the floor or the ground. Other researchers explored the object counting technologies which are used to identify the visible objects on the ground or in images. Although several studies focused on industrial component identification and counting problems, a study on the warehouse receiving stage remains a blank canvas. This paper reviews and analyses current industrial warehouse management developments around AI applications in this field, which may provide a reference for future researchers and end-users for the best modelling approach to this specific problem at the warehouse receiving stage.

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