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ZDNET’s key takeaways
- It had great AI motion tracking
- It’s iOS or Android compatible
- But it doesn’t have a tilt function
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Roaming the North Hall of CES I came across a gazillion AI tools. Most were over-hyped gimmicks. However, I did find the XbotGo Chameleon<!–> to be quite interesting and useful. As a sports photographer and videographer, I pay attention to tools and camera rigs that can help make my job easier. AI isn’t going to make everything easier in this craft, but AI that can easily track athletes for you is one of the first things on a sports videographer’s workflow wish list.
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While on the job, I’m often asked how one can get started shooting sports videography for a favorite team or athlete. Usually, this question is asked with trepidation because individuals see that I’m shooting with a fancy Blackmagic 6K–> cinema camera or my Canon R5 C<!–>. Pretty pricey equipment, I know.
However, impressive video can be captured with your trusty smartphone. Granted, the image sensor won’t give you the same quality as a high-end camera, but it’s still quite nice thanks to all of the computational enhancements Apple and Google are putting into their software. Even video stabilization has improved, so why not give your phone a try for sports videography until you can upgrade to a bigger camera?
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Understanding all this, the XbotGo team decided to tackle the most challenging aspect of sports videography – motion tracking. When watching your favorite sporting event on television, you’re shown a wider shot to view the playing field and action – usually, with little panning or tilting of the camera. But notice how you never see any highlight reels published in wide, static framing. It’s usually a tighter frame and follows a particular player through the scene. Can this be done with a smartphone? Yes, with practice and proper tools to aid you.
I played around with this device in the XbotGo booth at CES and was quite impressed. The team explained its AI will lock on to pretty much any athlete you select with the ease of a few taps. You can even specify a jersey or uniform number to track. I watched this gimbal follow folks on the show floor quite effortlessly.
I argued that tracking pedestrians on the CES show floor should be pretty easy. AI shouldn’t be required for anyone to handle that task. The XbotGo team rebutted by showing the XbotGo Chameleon tracking objects on a large television screen. When you’re dealing with screen refresh rates and flicker, it’s always challenging for a camera to get a good exposure and focus. Yet, the XbotGo Chameleon locked onto and followed specific players with ease – even within a wide-angle perspective. It was impressive.