Human re-identification using siamese convolutional neural network on Nvidia Geforce RTX 2060
Human reidentification in multiple cameras with disjoint views is to match a pair of humans appearing in different cameras with non-overlapping views. Human reidentification has been extensively studied in recent years because it plays a significant role in many applications such as human tracking a...
محفوظ في:
المؤلف الرئيسي: | Rajathurai, Elavarasan |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2021
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/98268/1/ElavarasanRajathuraiMSKE2021.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Fusion features ensembling models using Siamese convolutional neural network for kinship verification
بواسطة: Mohammed Ali, Al Muashi
منشور في: (2021) -
Bird species identification using spectrograms and convolutional neural networks
بواسطة: Saad, Aymen
منشور في: (2020) -
Convolutional neural networks for face recognition and finger-vein biometric identification
بواسطة: Ahmad Radzi, Syafeeza
منشور في: (2014) -
Multiple phase flow identification using computational simulation and convolutional neural network
بواسطة: Helmy, Mohamed Tawfik Ibrahim
منشور في: (2020) -
Convolution and max pooling layer accelerator for convolutional neural network
بواسطة: Goh, Jinn Chyn
منشور في: (2020)