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AttentionTrack: Multiple Object Tracking in Traffic Scenarios Using Features Attention

Research article (IEEE Transactions on Intelligent Transportation Systems, 2023) · cited 12× · AI/ML
academia openalex:W4386918943
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AttentionTrack: Multiple Object Tracking in Traffic Scenarios Using Features Attention

Summary

AttentionTrack: Multiple Object Tracking in Traffic Scenarios Using Features Attention is a scholarly article[1].

Key Facts

  • AttentionTrack: Multiple Object Tracking in Traffic Scenarios Using Features Attention's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). AttentionTrack: Multiple Object Tracking in Traffic Scenarios Using Features Attention. Retrieved May 24, 2026, from https://4ort.xyz/entity/attentiontrack-multiple-object-tracking-in-traffic-scenarios-using-features-attention
MLA “AttentionTrack: Multiple Object Tracking in Traffic Scenarios Using Features Attention.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/attentiontrack-multiple-object-tracking-in-traffic-scenarios-using-features-attention.
BibTeX @misc{4ortxyz_attentiontrack-multiple-object-tracking-in-traffic-scenarios-using-features-attention_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AttentionTrack: Multiple Object Tracking in Traffic Scenarios Using Features Attention}}, year = {2026}, url = {https://4ort.xyz/entity/attentiontrack-multiple-object-tracking-in-traffic-scenarios-using-features-attention}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AttentionTrack: Multiple Object Tracking in Traffic Scenarios Using Features Attention — https://4ort.xyz/entity/attentiontrack-multiple-object-tracking-in-traffic-scenarios-using-features-attention (retrieved 2026-05-24)

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