Results 61 to 70 of about 1,229,322 (315)
Large margin relative distance learning for person re‐identification
Distance metric learning has achieved great success in person re‐identification. Most existing methods that learn metrics from pairwise constraints suffer the problem of imbalanced data. In this study, the authors present a large margin relative distance
Husheng Dong+4 more
doaj +1 more source
Network topology drives population temporal variability in experimental habitat networks
Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu+3 more
wiley +1 more source
Multi‐stage ranking approach for fast person re‐identification
One of the goals of person re‐identification systems is to support video‐surveillance operators and forensic investigators to find an individual of interest in videos acquired by a network of non‐overlapping cameras. This is attained by sorting images of
Bahram Lavi Giorgio Fumera, Fabio Roli
doaj +1 more source
PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification
Person re-identification is the problem of recognizing people across different images or videos with non-overlapping views. Although there has been much progress in person re-identification over the last decade, it remains a challenging task because ...
Cho, Yeong-Jun, Yoon, Kuk-Jin
core +1 more source
We investigate the seasonal dynamics of two freshwater snails, Biomphalaria straminea and Melanoides tuberculata, in artificial reservoirs of the Brazilian semiarid region. Despite regulated hydrology, B. straminea exhibited strong seasonal fluctuations associated with dry periods, while M. tuberculata maintained stable populations throughout the year,
Lucas Henrique Sousa da Silva+6 more
wiley +1 more source
Segment attention‐guided part‐aligned network for person re‐identification
Part misalignment of the human body caused by complex variations in viewpoint and pose poses a fundamental challenge to person re‐identification. This letter examines Res2Net as the backbone network to extract multi‐scale appearance features. At the same
Wen Wang, Yongwen Liu, Gaoyun An
doaj +1 more source
Moving in the Dark: Enlightening the Spatial Population Ecology of European Cave Salamanders
We assessed individual interactions, movement ecology and activity patterns of a subterranean population of Speleomantes strinatii, applying spatial capture–recapture modeling to a photographic dataset of 104 individuals. ABSTRACT Space use and movement are fundamental aspects of organisms' ecology, mirroring individual fitness, behavior, and life ...
Giacomo Rosa+2 more
wiley +1 more source
ANALYSIS OF DIFFERENT DEEP LEARNING APPROACHES BASED ON DEEP NEURAL NETWORKS FOR PERSON RE-IDENTIFICATION [PDF]
In this work, different deep learning approaches based on deep neural networks for person re-identification were analyzed. Both identification and re-identification of people are frequently required in various fields of human life.
Adnan RAMAKIC+2 more
doaj
Multi‐stage attention network for video‐based person re‐identification
Video‐based person re‐identification (Re‐ID) has received increasing attention in video surveillance analysis in recent years. To extract relevant information of the target, many existing methods utilise the attention mechanism in the residual block of ...
Fan Yang+4 more
doaj +1 more source
Divide and Fuse: A Re-ranking Approach for Person Re-identification
As re-ranking is a necessary procedure to boost person re-identification (re-ID) performance on large-scale datasets, the diversity of feature becomes crucial to person reID for its importance both on designing pedestrian descriptions and re-ranking ...
Bai, Song+3 more
core +1 more source