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A Fusion Algorithm for Pedestrian Anomaly Detection and Tracking on Urban Roads Based on Multi-Module Collaboration and Cross-Frame Matching Optimization.

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Title: A Fusion Algorithm for Pedestrian Anomaly Detection and Tracking on Urban Roads Based on Multi-Module Collaboration and Cross-Frame Matching Optimization.
Authors: Zhao, Wei1 (AUTHOR) zhaowei@haust.edu.cn, Gong, Xin1 (AUTHOR), Li, Lanlan1 (AUTHOR), Zuo, Luoyang1 (AUTHOR)
Source: Sensors (14248220). Jan2026, Vol. 26 Issue 2, p400. 30p.
Database: Academic Search Ultimate
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  Data: A Fusion Algorithm for Pedestrian Anomaly Detection and Tracking on Urban Roads Based on Multi-Module Collaboration and Cross-Frame Matching Optimization.
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  Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jan2026, Vol. 26 Issue 2, p400. 30p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191174096
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        Value: 10.3390/s26020400
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        Text: English
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      – TitleFull: A Fusion Algorithm for Pedestrian Anomaly Detection and Tracking on Urban Roads Based on Multi-Module Collaboration and Cross-Frame Matching Optimization.
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