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Enriched and discriminative convolutional neural network features for pedestrian re‐identification and trajectory modeling
Research article (Computer-Aided Civil and Infrastructure Engineering, 2021) · cited 21× · AI/ML
Enriched and discriminative convolutional neural network features for pedestrian re‐identification and trajectory modeling
Summary
Enriched and discriminative convolutional neural network features for pedestrian re‐identification and trajectory modeling is a scholarly article[1].
Key Facts
Enriched and discriminative convolutional neural network features for pedestrian re‐identification and trajectory modeling's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Enriched and discriminative convolutional neural network features for pedestrian re‐identification and trajectory modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/enriched-and-discriminative-convolutional-neural-network-features-for-pedestrian-reidentification-and-trajectory-modelin
MLA“Enriched and discriminative convolutional neural network features for pedestrian re‐identification and trajectory modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enriched-and-discriminative-convolutional-neural-network-features-for-pedestrian-reidentification-and-trajectory-modelin.
BibTeX@misc{4ortxyz_enriched-and-discriminative-convolutional-neural-network-features-for-pedestrian-reidentification-and-trajectory-modelin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enriched and discriminative convolutional neural network features for pedestrian re‐identification and trajectory modeling}}, year = {2026}, url = {https://4ort.xyz/entity/enriched-and-discriminative-convolutional-neural-network-features-for-pedestrian-reidentification-and-trajectory-modelin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enriched and discriminative convolutional neural network features for pedestrian re‐identification and trajectory modeling — https://4ort.xyz/entity/enriched-and-discriminative-convolutional-neural-network-features-for-pedestrian-reidentification-and-trajectory-modelin (retrieved 2026-05-24)
