Self-aware Object Tracking in Multi-Camera Networks

Esterle, Lukas; Simonjan, Jennifer; Nebehay, Georg; Pflugfelder, Roman; Domínguez, Gustavo Fernández; Rinner, Bernhard

doi:10.1007/978-3-319-39675-0_13

Cited by 6 publications

(6 citation statements)

References 251 publications

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“…Hardware state assessment and management: Self-awareness in hardware systems often facilitates the management of temperature [80], power/energy [29,36,80] and real-time performance [20,36,55]. Also, ageing effects are addressed with increasingly complex models to assess the progress of ageing and select counter measures [25].…”

Section: Benefits In Systems On Chipmentioning

confidence: 99%

“…Smart camera networks have to deal with quickly changing, diverse and complex environments. Esterle et al [20] argue that fixed configurations are infeasible and the benefits of self-awareness are due to its coordinating effect on a distributed assessment and decision making, flexible rearrangements of the network under performance, cost and real-time constraints. In both examples important features of self-awareness are included but aspects like learning, goal management, attention and a central desirability scale are only rudimentary present or not at all.…”

Section: Self-adaptive Systemsmentioning

confidence: 99%

See 1 more Smart Citation

Self-Awareness in Systems on Chip— A Survey

2017

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Section: Benefits In Systems On Chipmentioning

confidence: 99%

Section: Self-adaptive Systemsmentioning

confidence: 99%

Self-Awareness in Systems on Chip— A Survey

2017

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“…However, when networked, they can cooperate in order to carry out more complex tasks and achieve collective goals [13,14,27,36,46]. As with other types of cyber-physical system, more recently, self-awareness [24,29] has been introduced in smart cameras, enabling them to reason about their own behaviour, and adapt accordingly in changing environments [15,42].…”

Section: Current Practicementioning

confidence: 99%

The Future of Camera Networks

Esterle

Lewis

McBride³

et al. 2017

Proceedings of the 11th International Conference on Distributed Smart Cameras

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Camera networks become smart when they can interpret video data on board, in order to carry out tasks as a collective, such as target tracking and (re-)identification of objects of interest. Unlike today's deployments, which are mainly restricted to lab settings and highly controlled high-value applications, future smart camera networks will be messy and unpredictable. They will operate on a vast scale, drawing on mobile resources connected in networks structured in complex and changing ways. They will comprise heterogeneous and decentralised aggregations of visual sensors, which will come together in temporary alliances, in unforeseen and rapidly unfolding scenarios. The potential to include and harness citizen-contributed mobile streaming, body-worn video, and robotmounted cameras, alongside more traditional fixed or PTZ cameras, and supported by other non-visual sensors, leads to a number of difficult and important challenges. In this position paper, we discuss a variety of potential uses for such complex smart camera networks, and some of the challenges that arise when staying smart in the presence of such complexity. We present a general discussion on the challenges of heterogeneity, coordination, self-reconfigurability, mobility, and collaboration in camera networks. KEYWORDSfuture camera networks, surveillance, mobile smart cameras, body worn cameras, humans in the loop, distributed control ACM Reference format:

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“…Additionally, we consider the large number of devices introducing different levels of smartness as a benefit as different situation might require different capabilities. The heterogeneous mix of abilities allows to cope with different problems and select the most appropriate ones for the given situation without wasting resources by too powerful approaches [22]. In this respect, there is a lot to learn from biology, and we have made huge strides in this direction.…”

Section: Smartnessmentioning

confidence: 99%