Crowd Counting in Still Images for RoboSoldier: A Survey

Part of the ultimate key capabilities for a RoboSoldier will lie in its ability to count the total number of people within a crowd with pin-drop precision. Crowd Counting (CC) relates to the estimation of the existing number of objects within a still image or video frame. Crowd counting has been successfully used in a wide range of applications from gathering business intelligence, such as consumer shopping patterns and ensuring normal operating conditions, to urban planning for crowd safety and stability through traffic monitoring. However, crowd counting has a fair range of its challenges like, high cluttering, varying illumination, severe occlusion, Perspective Distortion (PD), Irregular Object Distribution (IOD), non-object scales, and Location Information Loss (LIL)...

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Publication Details

Journal
Defence Science Journal
Published
2025-03-24
DOI
https://doi.org/10.14429/19142
Primary Topic
Video Surveillance and Tracking Methods
Type
article
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article

Crowd Counting in Still Images for RoboSoldier: A Survey

Vidhi Khanduja, Tendai Padenga
Defence Science Journal
Video Surveillance and Tracking Methods
article

Crowd Counting in Still Images for RoboSoldier: A Survey

Vidhi Khanduja, Tendai Padenga
article en

Abstract

Part of the ultimate key capabilities for a RoboSoldier will lie in its ability to count the total number of people within a crowd with pin-drop precision. Crowd Counting (CC) relates to the estimation of the existing number of objects within a still image or video frame. Crowd counting has been successfully used in a wide range of applications from gathering business intelligence, such as consumer shopping patterns and ensuring normal operating conditions, to urban planning for crowd safety and stability through traffic monitoring. However, crowd counting has a fair range of its challenges like, high cluttering, varying illumination, severe occlusion, Perspective Distortion (PD), Irregular Object Distribution (IOD), non-object scales, and Location Information Loss (LIL)...

Defence Science JournalVol. 75(2)
University of Delhi (IN), Gujarat Technological University (IN)
Openalex Percentile: Top 96%
Video Surveillance and Tracking Methods
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