Weighted Feature Fusion Network Based on Multi-Level Supervision for Migratory Bird Counting in East Dongting Lake

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 2317 - 2317

Published: Feb. 21, 2025

East Dongting Lake is an important habitat for migratory birds. Accurately counting the number of birds crucial to assessing health wetland ecological environment. Traditional manual observation and low-precision methods make it difficult meet this demand. To end, paper proposes a weighted feature fusion network based on multi-level supervision (MS-WFFNet) count MS-WFFNet consists three parts: EEMA-VGG16 sub-network, multi-source aggregation (MSFA) module, density map regression (DMR) module. Among them, sub-network cross-injects enhanced efficient multi-scale attention (EEMA) into truncated VGG16 structure. It uses multi-head nonlinearly learn relative importance different positions in same direction. With only few parameters added, EEMA effectively suppresses noise interference caused by cluttered background. The MSFA module integrates mechanism fully preserve low-level detail information high-level semantic information. achieves aggregating features enhancing expression key features. DMR applies output each path ensures local consistency spatial correlation among multiple results using distributed supervision. In addition, presents bird dataset DTH, collected monitoring equipment Lake. combined with other object datasets extensive experiments, showcasing proposed method’s excellent performance generalization capability.

Language: Английский

Edge Computing Based on Convolutional Neural Network for Passenger Counting: A Case Study in Guadalajara, Mexico

Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1695 - 1695

Published: March 9, 2025

One of the most common deficiencies in public transport system is long waiting times. Currently, Guadalajara Metropolitan Area, Mexico, frequencies routes are fixed, making it impossible to satisfy a demand with dynamic variation. An intelligent required. The first step solve this problem knowing number users so that we can respond appropriately each scenario. In context, work focuses on design and implementation an embedded module for passenger counting be used improves service quality. This presents three contributions. First, experimental validation presented determine image send information server suitable transportation Guadalajara, Mexico. Second, generation two new datasets reported training testing CSRNet algorithm images systems Mexican cities. Finally, make hardware Jetson Nano development board.

Language: Английский