Exploiting submodular value functions for scaling up active perception
In active perception tasks, an agent aims to select sensory actions that reduce its uncertainty
about one or more hidden variables. For example, a mobile robot takes sensory actions to …
about one or more hidden variables. For example, a mobile robot takes sensory actions to …
Automatic detection of suspicious behavior of pickpockets with track-based features in a shopping mall
H Bouma, J Baan, GJ Burghouts… - … and Photonics for …, 2014 - spiedigitallibrary.org
Proactive detection of incidents is required to decrease the cost of security incidents. This
paper focusses on the automatic early detection of suspicious behavior of pickpockets with …
paper focusses on the automatic early detection of suspicious behavior of pickpockets with …
Maximizing information gain in partially observable environments via prediction reward
Information gathering in a partially observable environment can be formulated as a
reinforcement learning (RL), problem where the reward depends on the agent's uncertainty …
reinforcement learning (RL), problem where the reward depends on the agent's uncertainty …
Exploiting submodular value functions for faster dynamic sensor selection
A key challenge in the design of multi-sensor systems is the efficient allocation of scarce
resources such as bandwidth, CPU cycles, and energy, leading to the dynamic sensor …
resources such as bandwidth, CPU cycles, and energy, leading to the dynamic sensor …
Leveraging temporal context in deep learning methodology for small object detection
Automated object detection is becoming more relevant in a wide variety of applications in
the military domain. This includes the detection of drones, ships, and vehicles in video and …
the military domain. This includes the detection of drones, ships, and vehicles in video and …
Behavioral profiling in CCTV cameras by combining multiple subtle suspicious observations of different surveillance operators
H Bouma, J Vogels, O Aarts… - … Sensor Fusion, and …, 2013 - spiedigitallibrary.org
Camera surveillance and recognition of deviant behavior is important for the prevention of
criminal incidents. A single observation of subtle deviant behavior of an individual may …
criminal incidents. A single observation of subtle deviant behavior of an individual may …
Automatic inference of geometric camera parameters and inter-camera topology in uncalibrated disjoint surveillance cameras
RJM den Hollander, H Bouma, J Baan… - … and Photonics for …, 2015 - spiedigitallibrary.org
Person tracking across non-overlapping cameras and other types of video analytics benefit
from spatial calibration information that allows an estimation of the distance between …
from spatial calibration information that allows an estimation of the distance between …
Flexible human-definable automatic behavior analysis for suspicious activity detection in surveillance cameras to protect critical infrastructures
Surveillance systems are essential for the protection of military compounds and critical
infrastructures. Automatic recognition of suspicious activities can augment human operators …
infrastructures. Automatic recognition of suspicious activities can augment human operators …
Finding suspects in multiple cameras for improved railway protection
JW Marck, H Bouma, J Baan… - … and Photonics for …, 2014 - spiedigitallibrary.org
The capability to find individuals using CCTV cameras is important for surveillance
applications at large areas such as railway stations, airports and shopping centers …
applications at large areas such as railway stations, airports and shopping centers …
GOOSE: semantic search on internet connected sensors
K Schutte, F Bomhof, G Burghouts… - Next-Generation …, 2013 - spiedigitallibrary.org
More and more sensors are getting Internet connected. Examples are cameras on cell
phones, CCTV cameras for traffic control as well as dedicated security and defense sensor …
phones, CCTV cameras for traffic control as well as dedicated security and defense sensor …