A practical approach for active camera coordination based on a fusion-driven multi-agent system

Bustamante, Alvaro Luis

doi:10.1080/00207721.2013.795632

Cited by 12 publications

(7 citation statements)

References 28 publications

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“…For example, to track an object, a process is created in this level and related SDAs collaborate with each other to track the respective object. More recently, Bustamante et al [2013] presented a high-level MAS architecture to coordinate multiple active cameras based on the users' inputs. They have integrated fusion architecture to combine data from multiple cameras and control them to achieve the users' desired goals.…”

Section: Multiagent System Frameworkmentioning

confidence: 99%

Multi-Camera Coordination and Control in Surveillance Systems

Natarajan

Atrey

Kankanhalli

2015

ACM Trans. Multimedia Comput. Commun. Appl.

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The use of multiple heterogeneous cameras is becoming more common in today's surveillance systems. In order to perform surveillance tasks, effective coordination and control in multi-camera systems is very important, and is catching significant research attention these days. This survey aims to provide researchers with a state-of-the-art overview of various techniques for multi-camera coordination and control (MC 3 ) that have been adopted in surveillance systems. The existing literature on MC 3 is presented through several classifications based on the applicable architectures, frameworks and the associated surveillance tasks. Finally, a discussion on the open problems in surveillance area that can be solved effectively using MC 3 and the future directions in MC 3 research is presented.

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Section: Multiagent System Frameworkmentioning

confidence: 99%

Multi-Camera Coordination and Control in Surveillance Systems

Natarajan

Atrey

Kankanhalli

2015

ACM Trans. Multimedia Comput. Commun. Appl.

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“…Similarly, Bustamante et al . (2014) used the BDI paradigm to model an active camera, agent-based surveillance system. The system proposes a three-layer architecture: a sensor management tier, which provides distributed active camera control and management, a data fusion tier for data processing and a user interface tier, where the operator can monitor the system.…”

Section: Enabling Technologiesmentioning

confidence: 99%

A survey and taxonomy on intelligent surveillance from a system perspective

Mihailescu

Davidsson

Eklund

et al. 2018

The Knowledge Engineering Review

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Recent proliferation of surveillance systems is mostly attributed to advances in both image-processing techniques and hardware enhancement of smart cameras, as well as the ubiquity of sensor-driven architectures. Owing to these capabilities, new aspects are coming to the forefront. This paper addresses the current state-of-the-art and provides researchers with an overview of existing surveillance solutions, analyzing their properties as a system and drawing attention to relevant challenges when developing, deploying and managing them. Also, some of the more prominent application domains are highlighted here. In an effort to understand the development of the advanced solutions, based on their most distinctive characteristics, we propose a taxonomy for surveillance systems to help classify them and reveal gaps in existing research. We conclude by identifying promising future research lines.

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“…Single camera switching assigns one camera to track one target at each time [16,101,23,74,41,33,141]. Decentralised coalition selects a subset of cameras for tracking a target at a time with one camera working as a coordinator to select the cameras in the coalition and aggregate the measurements [106,84,76,40,18,129,116]. Finally, distributed coalition involves a subset of cameras for tracking a target at a time, but with each camera independently deciding whether to join in a coalition [61].…”

Section: Coalition Formation With Resource Constraintsmentioning

confidence: 99%

Active visual tracking in multi-agent scenarios

Wang

Cavallaro

2017

2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

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Camera-equipped robots (agents) can autonomously follow people to provide continuous assistance in wide areas, e.g. museums and airports. Each agent serves one person (target) at a time and aims to maintain its target centred on the camera's image plane with a certain size (active visual tracking) without colliding with other agents and targets in its proximity. It is essential that each agent accurately estimates the state of itself and that of nearby targets and agents over time (i.e. tracking) to perform collision-free active visual tracking. Agents can track themselves with either on-board sensors (e.g. cameras or inertial sensors) or external tracking systems (e.g. multi-camera systems). However, on-board sensing alone is not sufficient for tracking nearby targets due to occlusions in crowded scenes, where an external multi-camera system can help. To address scalability of wide-area applications and accurate tracking, this thesis proposes a novel collaborative framework where agents track nearby targets jointly with wireless ceiling-mounted static cameras in a distributed manner. Distributed tracking enables each agent to achieve agreed state estimates of targets via iteratively communicating with neighbouring static cameras. However, such iterative neighbourhood communication may cause poor communication quality (i.e. packet loss/error) due to limited bandwidth, which worsens tracking accuracy. This thesis proposes the formation of coalitions among static cameras prior to distributed tracking based on a marginal information utility that accounts for both the communication quality and the local tracking confidence. Agents move on demand when hearing requests from nearby static cameras. Each agent independently selects its target with limited scene knowledge and computes its robotic control for collision-free active visual tracking. Collision avoidance among robots and targets can be achieved by the Optimal Reciprocal Collision Avoidance (ORCA) method. To further address view maintenance during collision avoidance manoeuvres, this thesis proposes an ORCA-based method with adaptive responsibility sharing and heading-aware robotic control mapping. Experimental results show that the proposed methods achieve higher tracking accuracy and better view maintenance compared with the state-of-the-art methods.

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A practical approach for active camera coordination based on a fusion-driven multi-agent system

Cited by 12 publications

References 28 publications

Multi-Camera Coordination and Control in Surveillance Systems

Multi-Camera Coordination and Control in Surveillance Systems

A survey and taxonomy on intelligent surveillance from a system perspective

Active visual tracking in multi-agent scenarios

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