opentl.net
OpenTLOpenTL is a general-purpose library for model-based visual object tracking.
http://www.opentl.net/
OpenTL is a general-purpose library for model-based visual object tracking.
http://www.opentl.net/
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OpenTL | opentl.net Reviews
https://opentl.net
OpenTL is a general-purpose library for model-based visual object tracking.
opentl.net
OpenTL
http://www.opentl.net/index.html
A general-purpose tracking library. Main features of OpenTL. Modularized, object-oriented software architecture. Common abstractions inside each layer: Bayesian filters, visual modalities, pose representations, data storage, image processing etc. Realtime performance: optimized algorithms, with support for multi-core and GPU processing. Different Bayesian filters, including particle filters (SIR, MCMC) as well as Kalman-based filters (EKF, IF). General-purpose XML parser for 3D models.
OpenTL
http://www.opentl.net/documentation.html
A book describing the OpenTL foundations will be available soon. Check here. OpenTL release 0.9.0 documentation. Currently not available. Please refer to version 0.8.1 for installation hints. Documentation of the application programming interface (API). OpenTL release 0.8.0 documentation. Contains installation instructions, minimum hardware requirements, development procedures and a step by step explaination of the shipped tutorials. Documentation of the application programming interface (API).
OpenTL
http://www.opentl.net/screencasts.html
How to create a new Visual Studio project for OpenTL development. Please note: All these videos are also available on YouTube. 2010 Technische Universität München. Middot; Robotics and Embedded Systems.
OpenTL
http://www.opentl.net/videos.html
Application examples using OpenTL. Multi-camera 3D people tracking-by-detection. IAFC @ The Mathworks booth of the Embedded World 2010. Markerless Vision based quadrocopter control. CCRL Demonstrator - Tracking Humans and Robots. 2D Hand Tracking Scenario. Visibility Testing and Subsampling. Esprit Flyer Model Stereo Tracking Scenario. Face and Gaze Tracking Scenario. SIR Particle Filter - Single-Target and Multi-Target. Real-Time Quadcopter Tracking for Dynamic Flight Control.
OpenTL
http://www.opentl.net/architecture.html
The following picture shows the main flow diagram behind all OpenTL-based applications. This scheme follows our model-based tracking pipeline. Concept, which produces the desired output (state probability density estimation) starting from raw image data and going through multiple processing levels. In our framework, any tracking pipeline consists of the following steps:. Sensory input: raw image data are obtained at a given timestamp (the clock symbol above). Here, a static data fusion. Using the dynamic...
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OpenTL
A general-purpose tracking library. Main features of OpenTL. Modularized, object-oriented software architecture. Common abstractions inside each layer: Bayesian filters, visual modalities, pose representations, data storage, image processing etc. Realtime performance: optimized algorithms, with support for multi-core and GPU processing. Different Bayesian filters, including particle filters (SIR, MCMC) as well as Kalman-based filters (EKF, IF). General-purpose XML parser for 3D models.
OpenTL
A general-purpose tracking library. Main features of OpenTL. Modularized, object-oriented software architecture. Common abstractions inside each layer: Bayesian filters, visual modalities, pose representations, data storage, image processing etc. Realtime performance: optimized algorithms, with support for multi-core and GPU processing. Different Bayesian filters, including particle filters (SIR, MCMC) as well as Kalman-based filters (EKF, IF). General-purpose XML parser for 3D models.
OpenTL
A general-purpose tracking library. Main features of OpenTL. Modularized, object-oriented software architecture. Common abstractions inside each layer: Bayesian filters, visual modalities, pose representations, data storage, image processing etc. Realtime performance: optimized algorithms, with support for multi-core and GPU processing. Different Bayesian filters, including particle filters (SIR, MCMC) as well as Kalman-based filters (EKF, IF). General-purpose XML parser for 3D models.
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