A Value Model for Asset Tracking Technology to Support Naval Sea-Based Resupply

Scala, Natalie M.; Pazour, Jennifer A.

doi:10.1080/10429247.2016.1168502

Cited by 8 publications

(1 citation statement)

References 32 publications

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“…In contrast, vision-based tracking was usually deemed as impractical in earlier reviews [10]- [12]. Reviewers value marker-enabled indoor tracking method, including RFID, and UWB, for their reliability and localization range over camera tracking enabled by basic machine vision applica-tions including barcode and QR-code.…”

Section: Introductionmentioning

confidence: 99%

Efficient Online Tracking-by-Detection With Kalman Filter

Chen

Shao

2021

IEEE Access

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Fast and reliable visual tracking of multiple objects in videos has a promisingly broad area of application in manufacturing, construction, traffic, logistics, etc., especially so in large-scale applications where it is not feasible to attach markers to many objects for traditional marker-enabled tracking methods. This paper presents a new approach, Kalman-intersection-over-union (KIOU) tracker, for multiobject tracking in videos that integrates a Kalman filter with IOU-based track association methods. The performance of the proposed KIOU tracker is quantitatively evaluated with UA-DETRAC, an open realworld multi-object detection and tracking benchmark. Experimental results show that the KIOU tracker outperforms the leading tracking methods. Additionally, the KIOU tracker has speed comparable to simple area overlap-based track association and quality comparable to methods with much higher computational costs, demonstrating its potential for online, real-time multi-object tracking.

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Section: Introductionmentioning

confidence: 99%