New performance measures for object tracking under complex environments

Convolutional Gating Network for Object Tracking

Object tracking through multiple cameras is a popular research topic in security and surveillance systems especially when human objects are the target. However, occlusion is one of the challenging problems for the tracking process. This paper proposes a multiple-camera-based cooperative tracking method to overcome the occlusion problem.  The paper presents a new model for combining convolutiona...

Video object tracking with feedback of performance measures

We present a scalable object tracking framework, which is capable of tracking the contour of nonrigid objects in the presence of occlusion. The framework consists of open-loop boundary prediction and closed-loop boundary correction parts. The open-loop prediction block adaptively divides the object contour into subcontours, and estimates the mapping parameters for each subsegment. The closed-lo...

Video Object Tracking with Feedback of Performance Measures

Performance Measures for Dynamic Environments

This article investigates systematically the utility of performance measures in non-stationary environments. Three characteristics for describing the goals of a dynamic adaptation process are proposed: accuracy, stability, and recovery. This examination underpins the usage of the best fitness value as a basis for measuring the three characteristics in scenarios with moderate changes of the best...

Selecting Sensitive Measures of Performance in Complex Multivariable Environments

The Defence Science and Technology Organisation (DSTO) is required to provide advice to customers for the procurement of complex future military systems. The high fidelity human-in-the-loop simulation (HILS) facility housed in the Air Operations Simulation Centre (AOSC) is increasingly being used to evaluate these novel systems. One of the benefits of the high fidelity HILS facility is the oppo...