Stereo vision based human body detection from a localized mobile robot

Bahadori, S.; Iocchi, Luca; Nardi, Daniele; Settembre, Giuseppe Paolo

doi:10.1109/avss.2005.1577319

Cited by 8 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ref. [25] illustrates how to track people and other objects in museum halls through the use of a stereo camera, which is also used to estimate a 3D model of such rooms, with the goal of notifying the human operator in charge of handling anomalous events. Refs.…”

Section: Related Workmentioning

confidence: 99%

Deep-Learning-Based Action and Trajectory Analysis for Museum Security Videos

Di Maio,

Nunziati,

Mecocci

2024

Electronics

View full text Add to dashboard Cite

Recent advancements in deep learning and video analysis, combined with the efficiency of contemporary computational resources, have catalyzed the development of advanced real-time computational systems, significantly impacting various fields. This paper introduces a cutting-edge video analysis framework that was specifically designed to bolster security in museum environments. We elaborate on the proposed framework, which was evaluated and integrated into a real-time video analysis pipeline. Our research primarily focused on two innovative approaches: action recognition for identifying potential threats at the individual level and trajectory extraction for monitoring museum visitor movements, serving the dual purposes of security and visitor flow analysis. These approaches leverage a synergistic blend of deep learning models, particularly CNNs, and traditional computer vision techniques. Our experimental findings affirmed the high efficacy of our action recognition model in accurately distinguishing between normal and suspicious behaviors within video feeds. Moreover, our trajectory extraction method demonstrated commendable precision in tracking and analyzing visitor movements. The integration of deep learning techniques not only enhances the capability for automatic detection of malevolent actions but also establishes the trajectory extraction process as a robust and adaptable tool for various analytical endeavors beyond mere security applications.

show abstract

Section: Related Workmentioning

confidence: 99%

Deep-Learning-Based Action and Trajectory Analysis for Museum Security Videos

Di Maio,

Nunziati,

Mecocci

2024

Electronics

View full text Add to dashboard Cite

show abstract

“…More specifically to robotic applications, a number of single or stereo camera vision-based body pose recognition systems have also been proposed in the literature, but have primarily focused on face, hand or arm recognition for input commands to a robot in order for it to accomplish a certain task [35][36][37][38][39][40][41][42][43]. For example, in [35], stereo cameras and an arm model fitting algorithm were used to determine human arm poses that can potentially be used to control a robot.…”

Section: Robotic Applicationsmentioning

confidence: 99%

Human Body Pose Interpretation and Classification for Social Human-Robot Interaction

McColl¹,

Zhang

Nejat

2011

Int J of Soc Robotics

View full text Add to dashboard Cite

A novel breed of robots known as socially assistive robots is emerging. These robots are capable of providing assistance to individuals through social and cognitive interaction. However, there are a number of research issues that need to be addressed in order to design such robots. In this paper, we address one main challenge in the development of intelligent socially assistive robots: The robot's ability to identify human non-verbal communication during assistive interactions. In particular, we present a unique non-contact and non-restricting automated sensor-based approach for identification and categorization of human upper body language in determining how accessible a person is to the robot during natural real-time human-robot interaction (HRI). This classification will allow a robot to effectively determine its own reactive task-driven behavior dur-

show abstract

“…Today, with the improvement of sensor technology and a rising in the speed and capacity of microcontrollers, robots that are small-scale enough to pass through rubble piles can be evolved [2]. There are various research fields for search and rescue robots such as mapping, victim detection [3], navigation, and exploration [4].…”

Section: Introductionmentioning

confidence: 99%

Design and Development of a Mobile Robot for Search and Rescue Operations in Debris

Baldemir

Iyigün

Musayev

et al. 2020

International Journal of Applied Mathematics Electronics and Computers

View full text Add to dashboard Cite

After an earthquake, critical tasks during the search and rescue operations are to quickly detect the locations of victims and recover them. Additionally, effective communication between responders in the field and the emergency management center is also important to provide successful operations. All these tasks are mostly performed by humans and trained dogs in dangerous and risky situations. In this study, the design and development of a mobile search and rescue robot are presented. The design criteria are determined based on operational requirements and stakeholder expectations. Considering the specified design criteria, the mechanical and electrical designs of the mobile robot are performed and corresponding control, communication, and user interface software are developed. Designed parts of the robot are manufactured and the system integration is done. Then robot functionality tests are performed. The test results show that the performance of the developed search and rescue robot meets the desired performance criteria. The developed search and rescue robot has great potential to provide an efficient way to reduce losses of lives by decreasing operation time and for getting accurate information about the situation of the disaster area.

show abstract

Stereo vision based human body detection from a localized mobile robot

Cited by 8 publications

References 15 publications

Deep-Learning-Based Action and Trajectory Analysis for Museum Security Videos

Deep-Learning-Based Action and Trajectory Analysis for Museum Security Videos

Human Body Pose Interpretation and Classification for Social Human-Robot Interaction

Design and Development of a Mobile Robot for Search and Rescue Operations in Debris

Contact Info

Product

Resources

About