Placemeter Inc.

Google Inc.

Niklaus Haldimann

Alexandre Winter

Tuan Hue Thi

Ugo Jardonnet

Adam Winer

Jens Scheffler

Amod Karve

Zachary Erik Lloyd

Joshua Ari Danziger

Asim Fazal

Embodiments of a method and system described herein enable capture of video data streams from multiple, different video data source devices and the processing of the video data streams. The video data streams are merged such that various data protocols can all be processed with the same worker processors on different types of operating systems, which are typically distributed. In an embodiment the multiple video data sources comprises at least one mobile device executing a video sensing application that produces a video data stream for processing by video analysis worker processes. The processes include automatically detecting features in an urban scene comprising sidewalks, roads, bike routes and road crossings.

Systems and methods for processing video data for activity monitoring

Embodiments of a method and system described herein enable capture of video data streams from multiple, different video data source devices and the processing of the video data streams. The video data streams are merged such that various data protocols can all be processed with the same worker processors on different types of operating systems, which are typically distributed. In an embodiment the multiple video data sources comprises at least one mobile device executing a video sensing application that produces a video data stream for processing by video analysis worker processes. The processes include automatically detecting moving objects in a video data stream, and further tracking and analyzing the moving objects.

Robust, adaptive and efficient object detection, classification and tracking

Embodiments of a method and system described herein enable capture of video data streams from multiple, different video data source devices and the processing of the video data streams. The video data streams are merged such that various data protocols can all be processed with the same worker processors on different types of operating systems, which are typically distributed. In an embodiment the multiple video data sources comprises at least one mobile device executing a video sensing application that produces a video data stream for processing by video analysis worker processes. The processes include estimating a queue wait time.

Method for queue time estimation

Embodiments of a method and system described herein enable capture of video data streams from multiple, different video data source devices and the processing of the video data streams. The video data streams are merged such that various data protocols can all be processed with the same worker processors on different types of operating systems, which are typically distributed. In an embodiment the multiple video data sources comprises at least one mobile device executing a video sensing application that produces a video data stream for processing by video analysis worker processes. The processes include automatically detecting features in an urban scene comprising building entrances.

Automated detection of building entrances

Embodiments of a method and system described herein enable capture of video data streams from multiple, different devices and the processing of the video data streams. The video data streams are merged such that various data protocols can all be processed with the same worker processors on different types of operating systems, which are typically distributed. An embodiment uses a mobile device (such as a mobile phone) as a device and deploys a video sensor application on the mobile device for encoding consecutive video files, time stamping the consecutive video files, and pushing the consecutive video files to a file server to produce a stable stream of video data. Thus avoiding the inefficiencies associated with having video processing in the data flow loop.

System and method for activity monitoring using video data

Embodiments include a system and method for activity monitoring using video data from multiple dissimilar sources. The video data is processed to remove any dependency of the system on types of video input data. The video data is processed to yield useful human readable information regarding events in real time, such as how many people move through a line in a period of time.

Virtual turnstile system and method

Embodiments of a method and system described herein enable capture of video data streams from multiple, different video data source devices and the processing of the video data streams. The video data streams are merged such that various data protocols can all be processed with the same worker processors on different types of operating systems, which are typically distributed.

Systems and methods for processing video streams

Mutations representing spreadsheet edit operations are received at a server from client computers of collaborators and also at a collaborator's client computer from other collaborators and the server. Different mutations may conflict, i.e., provide contradictory instructions on how a spreadsheet is to be edited. Techniques for representing sort operations, cut-and-paste operations, and operations to change cell properties as mutations, and operational transform techniques that can be used to resolve conflicts between such mutations, are disclosed herein. Further disclosed herein are techniques for identifying and processing computationally intensive types of mutations in a calculation thread which operates asynchronously with respect to a UI thread at a collaborator's client computer. The processing may include performing an operational transform on results of the calculation thread based on results obtained in the UI thread.

Systems and methods for mutations and operational transforms in a collaborative spreadsheet environment

A method of resolving mutations in a partially-loaded spreadsheet model includes loading onto a client computer a first chunk of a spreadsheet stored on a server, where the first chunk represents a first range of cells in the spreadsheet, and requesting a second chunk of the spreadsheet from the server, where the second chunk represents a second range of cells in the spreadsheet. The method further includes storing a plurality of pending user mutations on the client computer generated by a user on the client computer, where the plurality of pending user mutations are applied to the first chunk, and receiving from the server a plurality of collaborator mutations and the second chunk. The method further includes transforming the plurality of pending user mutations against the plurality of collaborator mutations, and applying the transformed plurality of pending user mutations to the second chunk.

Resolving mutations in a partially-loaded spreadsheet model

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for requesting handling web applications provided from a server. A bootstrap object is received from the server. The bootstrap object is independent of the requested web application and includes default settings for a plurality of different web applications. An application configuration object is also received from the server. The application configuration object is specific to the requested web application and includes a plurality of plugin handles. The bootstrap object loads the application configuration object, and identifies, based on the plugin handles, a first plugin for the requested web application. The first plugin is requested, and upon receipt the from the server the first plugin is loaded in a user interface. The first plugin exposes an application programming interface (API) of the first plugin to the bootstrap object.

Growing community of inventors

New York, NY, United States of America

Niklaus Haldimann