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Matlab tools for video tracking8/14/2023 The point object would typically be seen for targets far away from a surveillance radar. The top row shows what you might receive from a radar or a lidar. You can define what a measurement consists of. We don't make any assumptions on what a detection is. So object detections can take many forms, as I mentioned earlier. I should also note that the toolbox is written in MATLAB, so you have access to the code if you want to understand how we've implemented algorithms or how you might want to use it as a starting point for your own custom system. You can also customize the trackers with your own tracking filters and motion models. You can use trackers out of the box or you can customize our trackers with libraries of tracking filters, motion models, assignment algorithms, and track fusers. Now, we took a two-design-point approach for this toolbox. I'll talk some more about this in a minute. And our trackers produce tracks in the object track format. The interface to our trackers is through an object detections API. We have a range of trackers to pick from that you can feed these detections. You can generate this data directly from our sensor models as well. And this could be in the form of recorded data or data you feed directly from the sensor or sensors. ![]() The Workflow is in place to help you work with data from your sensors. ![]() And specifically, these are tools that you can use to visualize your results and produce metrics that you can use to see if your systems are performing as intended. The third major category of capabilities is focused on analysis. We also provide a testbed that includes sensor models and scenario generation tools that you can use to develop and test your algorithms. And these are for surveillance systems and autonomous systems. At the heart of the toolbox are algorithms for tracking, localization, and sensor fusion. The toolbox has three major categories of capabilities. This product was launched in the 18B release, and we just recently had a major update in the 20B release. I'll focus on Sensor Fusion and Tracking Toolbox. ![]() I'm happy to be able to present this webinar on multi-object tracking for surveillance systems. I'm a product manager at MathWorks, where I focus on radar and tracking products. in Electrical and Computer Engineering from Northeastern University, where his focus areas of study included Microwave Engineering, Communications and Signal Processing. in Electrical and Computer Engineering from the University of Massachusetts, Amherst and an M.S. Rick also was a DSP Applications Engineer at Analog Devices where he led embedded processor and system level architecture definitions for high performance signal processing systems. His focus was on signal processing and system integration. Prior to joining MathWorks, Rick was a Radar Systems Engineer at MITRE and MIT Lincoln Laboratory, where he worked on the development of many large radar systems. Rick Gentile works at MathWorks where he is focused on tools that support radar, sonar, and wireless communications applications.
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