Adopting the YOLOv4 architecture for low-latency multispectral pedestrian detection in autonomous driving
Detecting pedestrians in autonomous driving is a safety-critical task, and the decision to
avoid aa person has to be made with minimal latency. Multispectral approaches that …
avoid aa person has to be made with minimal latency. Multispectral approaches that …
Two decades of local binary patterns: A survey
Texture is an important characteristic for many types of images. In recent years, very
discriminative and computationally efficient local texture descriptors based on local binary …
discriminative and computationally efficient local texture descriptors based on local binary …
A method of underwater acoustic signal classification based on deep neural network
Z Wei, Y Ju, M Song - 2018 5th International Conference on …, 2018 - ieeexplore.ieee.org
As an important precondition for underwater acoustic signal analysis and underwater target
detection & identification, classification of underwater acoustic sensor signal (especially in …
detection & identification, classification of underwater acoustic sensor signal (especially in …
Active contour-based detection of estuarine dolphin whistles in spectrogram images
OM Serra, FPR Martins, LR Padovese - Ecological Informatics, 2020 - Elsevier
An algorithm for detecting tonal vocalizations from estuarine dolphin (Sotalia guianensis)
specimens without interference of a human operator was developed. The raw audio data …
specimens without interference of a human operator was developed. The raw audio data …
Gated weighted normative feature fusion for multispectral object detection
X Wu, X Jiang, L Dong - The Visual Computer, 2024 - Springer
Multispectral image pairs can provide independent and complementary information to more
comprehensively describe detection targets, thereby improving the robustness and reliability …
comprehensively describe detection targets, thereby improving the robustness and reliability …
A permanent automated real-time passive acoustic monitoring system for bottlenose dolphin conservation in the Mediterranean Sea
M Brunoldi, G Bozzini, A Casale, P Corvisiero… - PloS one, 2016 - journals.plos.org
Within the framework of the EU Life+ project named LIFE09 NAT/IT/000190 ARION, a
permanent automated real-time passive acoustic monitoring system for the improvement of …
permanent automated real-time passive acoustic monitoring system for the improvement of …
Classification of EMI discharge sources using time–frequency features and multi-class support vector machine
This paper introduces the first application of feature extraction and machine learning to
electromagnetic interference (EMI) signals for discharge sources classification in high …
electromagnetic interference (EMI) signals for discharge sources classification in high …
Underwater acoustic target recognition with fusion feature
P Qi, J Sun, Y Long, L Zhang, Tianye - … 8–12, 2021, Proceedings, Part I 28, 2021 - Springer
For the underwater acoustic targets recognition, it is a challenging task to provide good
classification accuracy for underwater acoustic target using radiated acoustic signals …
classification accuracy for underwater acoustic target using radiated acoustic signals …
Two-stage detection of north Atlantic right whale upcalls using local binary patterns and machine learning algorithms
In this paper, we investigate the effectiveness of two-stage classification strategies in
detecting north Atlantic right whale upcalls. Time-frequency measurements of data from …
detecting north Atlantic right whale upcalls. Time-frequency measurements of data from …
Application of image processing techniques for frog call classification
Frogs have received increasing attention due to their effectiveness for indicating the
environment change. Therefore, it is important to monitor and assess frogs. With the …
environment change. Therefore, it is important to monitor and assess frogs. With the …