A gaze control system for tracking Quasi-1D high-speed moving object is proposed, it can keep the in centre of image within a certain range. Initially, structure designed, and range expanded using single saccade mirror. Then model between deflection angle mirror pixel displacement established. Finally, frame-difference method based on cropping proposed to rapidly extract complex dynamic backgro...

Traditional visual servoing systems do not deal with the topic of moving objects tracking. When these systems are employed to track a moving object, depending on the object velocity, visual features can go out of the image, causing the fail of the tracking task. This occurs specially when the object and the robot are both stopped and then the object starts the movement. In this work, we have em...

Database applications for moving objects pose new challenges in modeling, querying, and maintenance of objects whose locations are rapidly changing over time. Previous work on modeling and querying spatio-temporal databases and constraint databases focus primarily on snapshots of changing databases. In this paper we study query evaluation techniques for moving object databases where moving obje...

Moving object extraction plays a key role in applications such as object-based videoconference, surveillance, and so on. The difficulties of moving object segmentation lie in the fact that physical objects are normally not homogeneous with respect to low-level features and it’s usually tough to segment them accurately and efficiently. Object segmentation based on prestored background informatio...

A novel integrated multi-camera video-sensor (panoramic scene analysis – PSA) system is proposed for surveillance applications. In the proposed set-up, an omnidirectional imaging device is used in conjunction with a pan tilt zoom (PTZ) camera leading to an innovative kind of sensor that is able to automatically track at a higher zoom level any moving object within the guarded area. In particula...

With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. With such data, it becomes possible to automatically identify suspicious behavior in object movements. Anomaly detection in massive moving objects has many important applications, especially in surveillance, law enforcement, and homeland security. Due to the sheer ...

This paper presents a new visual aggregation model for representing visual information about moving objects in video data. Based on available automatic scene segmentation and object tracking algorithms, the proposed model provides eight operations to calculate object motions at various levels of semantic granularity. It represents trajectory, color and dimensions of a single moving object and t...

Inspired by the behaviour of the human visual system, a spiking neural network is proposed to detect moving objects in a visual image sequence. The structure and the properties of the network are detailed in this paper. Simulation results show that the network is able to perform motion detection for dynamic visual image sequence. Boundaries of moving objects are extracted from an active neuron ...

We present a general framework and method for simultaneous detection and segmentation of an object in a video that moves (or comes into view of the camera) at some unknown time in the video. The method is an online approach based on motion segmentation, and it operates under dynamic backgrounds caused by a moving camera or moving nuisances. The goal of the method is to detect and segment the ob...