Objects Counting in Videos via Deep Learning and Image Processing
- Resource Type
- Conference
- Authors
- Labeni, Merouane; Boufenar, Chaouki; Taffar, Mokhtar
- Source
- 2020 4th International Symposium on Informatics and its Applications (ISIA) Informatics and its Applications (ISIA), 2020 4th International Symposium on. :1-6 Dec, 2020
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Deep learning
Surveillance
Streaming media
Programming
Real-time systems
Security
Task analysis
objects counting
CenterNet
optical flow
image/video processing
deep learning
- Language
Objects counting in video frames is an important field of research that provides appropriate information about objects and their groups in video streams. An adequate technique to achieve this goal is using digital image/video processing methods with a detection method called CenterN et that is based on a deep learning architecture (i.e., a ConvNet architecture). This paper presents an objects counting method based on a combination of a detection model and optical flow generated between video frames.