We propose a complete system consisting of various types of sensor deployment, including smart home sensors, vehicular networking, weather and water sensors, smart parking sensors, and surveillance objects.
Robots can even be programmed to cut specific wires, deploy non-lethal tactical devices and work as surveillance objects.
Key operations in intelligent surveillance include object tracking, abnormal behavior detection, and behavior understanding.
In several scenarios (such as far-field surveillance and objects moving on a plane), it is reasonable to model constant motion in the real world using a linear dynamic system (LDS) model on the image plane.
We show how the inclusion of this new dynamic local fusion agent guarantees that, in a video-surveillance system, objects of interest are successfully tracked across the whole area, assuring continuity and seamless transitions.
This research involves looking at abandoned baggage, parked vehicles, doorway surveillance, sterile zone object tracking, and multiple camera tracking.
In surveillance scenarios, an object casts shadows on surfaces.
WSNs are used for various applications including military surveillance, habitat monitoring, object tracking, traffic monitoring, etc.
The attitude information of geostationary satellites is difficult to be obtained since they are presented in non-resolved images on the ground observation equipment in space object surveillance.
Object tracking is one of the most interesting topics in many computer vision applications such as traffic monitoring in the intelligent transportation systems, video surveillance, medical applications, military object tracking, object-based video compression, etc. [1 4].
