Text-based Person Search in Full Images via Semantic-Driven Proposal Generation

arXiv:2109.12965v3 Announce Type: replace
Abstract: Finding target persons in full scene images with a query of text description has important practical applications in intelligent video surveillance.However, different from the real-world scenarios where the bounding boxes are not available, existing text-based person retrieval methods mainly focus on the cross modal matching between the query text descriptions and the gallery of cropped pedestrian images. To close the gap, we study the problem of text-based person search in full images by proposing a …

abstract applications arxiv cs.ai cs.cv focus images intelligent modal person practical query retrieval search semantic surveillance text type via video video surveillance world