Autonomous real-time surveillance system with distributed IP cameras

An autonomous Internet Protocol (IP) camera based object tracking and behaviour identification system, capable of running in real-time on an embedded system with limited memory and processing power is presented in this paper. The main contribution of this work is the integration of processor intensive image processing algorithms on an embedded platform capable of running at real-time for monitoring the behaviour of pedestrians. The Algorithm Based Object Recognition and Tracking (ABORAT) system architecture presented here was developed on an Intel PXA270-based development board clocked at 520 MHz. The platform was connected to a commercial stationary IP-based camera in a remote monitoring station for intelligent image processing. The system is capable of detecting moving objects and their shadows in a complex environment with varying lighting intensity and moving foliage. Objects moving close to each other are also detected to extract their trajectories which are then fed into an unsupervised neural network for autonomous classification. The novel intelligent video system presented is also capable of performing simple analytic functions such as tracking and generating alerts when objects enter/leave regions or cross tripwires superimposed on live video by the operator

No Medal for the Olympics on Labour Rights

The report utilizes the research of four of the companies awarded licenses to produce official Olympic goods and calls on the International Olympic Committee (IOC) to ensure all Olympic products are manufactured in conditions aligned with the Olympic Charter

You are a chosen race

1 Peter 2:9

What\u27s Going on in Our Prisons?

Additional governmental oversight is urgently needed to truly change the culture of a system that holds 53,000 inmates across 54 prisons in New York State. What goes on inside these prisons is largely hidden from view, and there is little accountability for wrongdoing. The State Legislature should follow the A.B.A.’s guidance and establish a monitoring body with unfettered access to prison facilities, staff, inmates and records in announced or unannounced visits

Gradual Program Analysis

Dataflow analysis and gradual typing are both well-studied methods to gain information about computer programs in a finite amount of time. The gradual program analysis project seeks to combine those two techniques in order to gain the benefits of both. This thesis explores the background information necessary to understand gradual program analysis, and then briefly discusses the research itself, with reference to publication of work done so far. The background topics include essential aspects of programming language theory, such as syntax, semantics, and static typing; dataflow analysis concepts, such as abstract interpretation, semilattices, and fixpoint computations; and gradual typing theory, such as the concept of an unknown type, liftings of predicates, and liftings of functions