International Business Machines Corporation

Hughes Aircraft Company

Timothy T Bohn

Natalie Brooks Powell

Ho-Yiu Lam

David Charles Martin

Gary W Crupi

Sandhya ReddyVeera

Bradley C Herrin

Diana C Costantino

Ian G M Hill

Thomas K Lo

Jack M Sacks

Nam D Banh

Embodiments of the present invention provide techniques for identifying and quantifying waste in a process. Waste information is input via images and/or natural language. The amount of waste is estimated based on information in images and/or a natural language description. A computer-implemented technique extracts metadata on waste products from the images and/or natural language description. A variety of factors such as social media trends, weather, traffic, and/or sports schedules are evaluated by the computer and used in predicting the amount of waste that will occur.

Waste analysis system and method

Techniques are described for development community assessment via real-time workspace monitoring. In one example, a method includes outputting, to one or more servers, a first developer registration information for a developer matching service, and downloading an agent associated with the developer matching service to a developer workspace on the client, wherein the agent is configured to monitor the developer workspace. The method further includes outputting, to the servers, data obtained from monitoring the developer workspace by the agent, and receiving, from the servers, a message that a correspondence has been identified between code in the development environment and code in a second development environment registered with the developer matching service. The method further includes establishing a connection between the client and a collaboration platform including a social coding service that facilitates collaboration between the first and second development environments.

Development community assessment via real-time workspace monitoring

Target tracking capability is provided by a synergistic tracker system (5) which includes both a correlation tracker (30) and an object tracker (40) for processing sensor data input (10) and for generating tracking error signals (80). The operation of the synergistic tracker system is controlled by a central processing unit (70). The system operates by first correlating a reference region image with a portion of a current digitized image provided by an analog to digital converter (20). Secondly, the object tracker provides a precisely defined trackpoint for an object within the current image. The correlation tracker stabilizes and limits the portion of the digitized image that the object tracker must operate upon. Stabilizing and limiting this portion of the digitized image reduces the object tracker's sensitivity to background clutter and sensitivity to a loss of lock induced by sensor motion. The object tracker provides a non-recursive update for the correlation's reference region image. The correlation tracker and the object tracker are used simultaneously and cooperatively so that the strengths of one tracker are used to overcome the weaknesses of the other. A method of tracking a target immersed in background clutter is also disclosed.

Apparatus and method for tracking a target

Growing community of inventors

Simi Valley, CA, United States of America

Timothy T Bohn