People detection in surveillance: classification and evaluation
Nowadays, people detection in video surveillance environments is a task that has been generating great interest. There are many approaches trying to solve the problem either in controlled scenarios or in very specific surveillance applications. The main objective of this study is to give a comprehen...
Main Authors: | Álvaro García‐Martín, José María Martínez |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2015-10-01
|
Series: | IET Computer Vision |
Subjects: | |
Online Access: | https://doi.org/10.1049/iet-cvi.2014.0148 |
Similar Items
-
Robustness analysis of pedestrian detectors for surveillance
by: Fang, Yuming, et al.
Published: (2018) -
Firearm-related action recognition and object detection dataset for video surveillance systems
by: Jesus Ruiz-Santaquiteria, et al.
Published: (2024-02-01) -
Deep Multi-Scale Features Fusion for Effective Violence Detection and Control Charts Visualization
by: Nadia Mumtaz, et al.
Published: (2022-12-01) -
Automatic Dynamic Range Adjustment for Pedestrian Detection in Thermal (Infrared) Surveillance Videos
by: Oluwakorede Monica Oluyide, et al.
Published: (2022-02-01) -
Anomaly Detection in Traffic Surveillance Videos Using Deep Learning
by: Sardar Waqar Khan, et al.
Published: (2022-08-01)