Embedded Descriptor Generation in Faster R-CNN for Multi-Object Tracking
With the rapid growth of computer usage to extract the required knowledge from a huge amount of information, such as a video file, significant attention has been brought towards multi-object detection and tracking. Artificial Neural Networks (ANNs) have shown outstanding performance in multi-object...
Main Authors: | Younis Younis, Khalil Alsaif |
---|---|
Format: | Article |
Language: | Arabic |
Published: |
Mosul University
2021-12-01
|
Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
Subjects: | |
Online Access: | https://csmj.mosuljournals.com/article_170013_6beb8ac2b3e9a8484bf055a6eaf992ee.pdf |
Similar Items
-
Pixel-Guided Association for Multi-Object Tracking
by: Abhijeet Boragule, et al.
Published: (2022-11-01) -
Enhancing Detection Quality Rate with a Combined HOG and CNN for Real-Time Multiple Object Tracking across Non-Overlapping Multiple Cameras
by: Lesole Kalake, et al.
Published: (2022-03-01) -
MS-Faster R-CNN: Multi-Stream Backbone for Improved Faster R-CNN Object Detection and Aerial Tracking from UAV Images
by: Danilo Avola, et al.
Published: (2021-04-01) -
An Active Multi-Object Ultrafast Tracking System with CNN-Based Hybrid Object Detection
by: Qing Li, et al.
Published: (2023-04-01) -
Object Recognition at Night Scene Based on DCGAN and Faster R-CNN
by: Kun Wang, et al.
Published: (2020-01-01)