AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
Matlab course byu9/21/2023 In regards to target tracking, a good model is referred to as a good track. Good Model: A model that is deemed very likely to correctly describe a phenomenon, based on predefined criteria, becomes a good model. We will often abbreviate the term and mention only hypothesis. In regards to target tracking, a model hypothesis is referred to as a track hypothesis. A model hypothesis that meets certain criteria becomes a model. a possible model) created by the RANSAC algorithm. Model Hypothesis: This is a hypothetical model of the phenomenon (i.e. In regards to target tracking, a model is referred to as a track. Model: This is simply a model of the phenomenon. True Measurement: A measurement extracted from a sensor scan that does correspond to a phenomenon of interest. For example, motion in a camera can generate false measurements due to parallax depending on the algorithm. For example, the sensor scan of a camera occurs when the camera produces a new image of its surveillance region.įalse Measurement: A measurement extracted from a sensor scan that does not correspond to a phenomenon of interest. Sensor Scan: When a sensor observes its surveillance region and extracts meaningful data. It is possible that the global frame is the same as a local frame. Global Frame: The frame that coincides with the global surveillance region. Local Frame: The frame that coincides with a local surveillance region. We will often refer to a frame of reference as just frame. Note that there can be many local surveillance regions but only one global surveillance region.įrame of reference: Consists of an abstract coordinate system and the set of physical reference points that uniquely fix (locate and orient) the coordinate system and standardize measurements within that frame. For example, the surveillance region of a camera is everything in it's view, and the global surveillance region would be the area viewed by multiple cameras. There is a local surveillance region for each sensor and a global surveillance region that is a union of all the local surveillance regions. Surveillance Region: The portion of the environment that is observable by the sensors. Measurement Source: A sensor equipped with an algorithm that captures information from the environment and produces meaningful measurements used to observe the target. In the case of target tracking, the phenomenon is referred to as a target, which is an object that can move physically. Phenomenon: Something that produces an observable signal. Some of this terminology has been taken from the RADAR community. Terminologyīefore giving an overview of R-RANSAC, we will present some common terminology that is frequently encountered. The purpose of this documentation is to give a high level overview of R-RANSAC, a brief overview of the code structure and documentation, a setup guide, and a developers guide. It is a modular multiple target tracking (MTT) paradigm that autonomously initializes tracks without knowing the number of tracks a priori. R-RANSAC stands for recursive random sample consensus.
0 Comments
Read More
Leave a Reply. |