Farsight: A physics-driven whole-body biometric system at large distance and altitude
Whole-body biometric recognition is an important area of research due to its vast
applications in law enforcement, border security, and surveillance. This paper presents the …
applications in law enforcement, border security, and surveillance. This paper presents the …
Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
Abstract Person Re-Identification (ReID) holds critical importance in computer vision with
pivotal applications in public safety and crime prevention. Traditional ReID methods reliant …
pivotal applications in public safety and crime prevention. Traditional ReID methods reliant …
SEAS: ShapE-Aligned Supervision for Person Re-Identification
We introduce SEAS using ShapE-Aligned Supervision to enhance appearance-based
person re-identification. When recognizing an individual's identity existing methods primarily …
person re-identification. When recognizing an individual's identity existing methods primarily …
KeyPoint Relative Position Encoding for Face Recognition
In this paper we address the challenge of making ViT models more robust to unseen affine
transformations. Such robustness becomes useful in various recognition tasks such as face …
transformations. Such robustness becomes useful in various recognition tasks such as face …
Whole-body detection, recognition and identification at altitude and range
In this paper, we address the challenging task of whole-body biometric detection,
recognition, and identification at distances of up to 500m and large pitch angles of up to 50 …
recognition, and identification at distances of up to 500m and large pitch angles of up to 50 …
Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability
In various domains such as surveillance and smart retail pedestrian retrieval centering on
person re-identification (Re-ID) plays a pivotal role. Existing Re-ID methodologies often …
person re-identification (Re-ID) plays a pivotal role. Existing Re-ID methodologies often …
Person search over security video surveillance systems using deep learning methods: A review
S Irene, AJ Prakash, VR Uthariaraj - Image and Vision Computing, 2024 - Elsevier
Person search has become one of the most critical and challenging applications in today's
video surveillance systems. It helps in locating a person in surveillance videos, which is …
video surveillance systems. It helps in locating a person in surveillance videos, which is …
Euclidean-Distance-Preserved Feature Reduction for efficient person re-identification
X Huang, Y Yang, P Tiwari, J Zhang - Neural Networks, 2024 - Elsevier
Abstract Person Re-identification (Re-ID) aims to match person images across non-
overlapping cameras. The existing approaches formulate this task as fine-grained …
overlapping cameras. The existing approaches formulate this task as fine-grained …
Multi-scale spatio-temporal feature adaptive aggregation for video-based Person Re-identification
W Zhao, Y Huang, G Wang, B Zhang, Y Gao… - Knowledge-Based …, 2024 - Elsevier
Video-based person re-identification (Re-ID) aims to retrieve the target person from video
sequences captured by a distributed camera system. It remains a challenging task due to the …
sequences captured by a distributed camera system. It remains a challenging task due to the …
Rethinking Clothes Changing Person ReID: Conflicts, Synthesis, and Optimization
Clothes-changing person re-identification (CC-ReID) aims to retrieve images of the same
person wearing different outfits. Mainstream researches focus on designing advanced …
person wearing different outfits. Mainstream researches focus on designing advanced …