Systems, methods, and manufactures for a surveillance system are provided. The
surveillance system includes sen sors having at least one non-overlapping field of view. The …

This paper presents a video surveillance framework that robustly and efficiently detects
abandoned objects in surveillance scenes. The framework is based on a novel threat …

摘要近年来, 由于计算机视觉技术的发展和计算机硬件性能的提高, 基于视觉的目标跟踪方法
得到了飞速的发展. 其中, 基于踪片(Tracklet) 关联的目标跟踪方法因为具有对目标遮挡的强鲁棒 …

In this paper, we propose a generalizable knowledge framework for data abstraction, ie,
finding a compact abstract model for input data using predefined abstract terms. Based on …

Automated extraction of semantic information from a network of sensors for cognitive
analysis and human-like reasoning is a desired capability in future ground surveillance …

Due to electromagnetic silence, passive tracking systems for emitter targets usually produce
track segments (ie, tracklets) rather than an entire trajectory of the target. Therefore, a …

Automated scene understanding or interpretation is a fundamental problem of computer
vision. Its goal is to compute a formal description of the content and events that can be …

The objective of this document is to introduce the principle of Autonomous PErceptual
System (APES) as an object of study. The functionalities of artificial perception, in particular …

In this dissertation, a knowledge-supervised MCMC (KSMCMC) sampling technique is
developed to provide autonomous systems the ability to abstract and to infer based on given …