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Introduction On Data
Reliability		 Analysis
Methodologies		 A Scientific WFM Observatory Explanatory
Hypotheses		 Conclusion

Available Video Footage
 Trollstigen1 Jul 2018
YouTube: adRsfMwpnQk★★☆☆☆
 Queen Valley (AZ)5 Apr 2018
YouTube: 4KeZ7Pzbd9U★★★★☆
 Suchá14 Oct 2017
YouTube: lnIUh2bPxu0★★★★★
 Crucea de Piatră3 Oct 2017
YouTube: P-iFx3VIiQ0★★★★★
 Crucea de Piatră14 Sep 2017
YouTube: mWvP3QG18v0★★★★☆
 Fort St. John (BC)3 Sep 2017
YouTube: d3ajks8OHCo★★★★★
 Weert25 May 2017
YouTube: h0s_P74oQD4★★★★☆
 Port Tabacco (MD)18 Mar 2017
YouTube: 2wII24qSpDw★★★★☆
 Volgograd (VGG)18 Mar 2017
YouTube: _p_inSwZcPQ★★★☆☆
 Charles Town (WV)Feb 2017
YouTube: JJpSYozvasc★★★★☆
 RugeleySummer 2016
YouTube: mgrI0MHZQQc★★★☆☆
 New York City (NY)Jul 2016
YouTube: QGKkhZE2Fk0★★☆☆☆
 Ayden (NC)16 Oct 2016
YouTube: 6BUA6zdbgEE★★★★☆
 Nueva Talcuna24 Mar 2016
YouTube: O9R1wMq0VOI★★☆☆☆
 Maryland Point (MD)12 Dec 2015
YouTube: 9P2A8m7RgnA★★★★★
 Sion13 Nov 2015
YouTube: dNrtU1z_5EQ★★★☆☆
 Westbury26 Sep 2015
YouTube: VjW_QyXtyHA★★★★★

 Suchá, 14 Oct 2017


 Abstract  The object is too fast to be a known animal (esp. bird) but the movement behavior is only barely not in scope of achievable performance with available technology, in particular jet-propelled model airplanes. However, like in every other case mentioned on this website the object appears in a bright white color. This case is particularly interesting, because the camera observes the object in sufficient distance to reveal its highly non-linear trajectory. The object moves over a forest's treeline in a large-radius curve around a mountain. This observation strengthens the view that WFMs are capable of (intentionally) avoiding collision with landmarks.


Video Info
Source:YouTube.com/watch?v=lnIUh2bPxu0
User:Drone DJI TV 
Published:23 Dec 2017
Resolution:2160p
Frame rate:25fps
Drone model: DJI Phantom 4
Files: archived original description and comments on YouTube
Content Info
Viewpoint*: 50.367752, 12.962791goo.gl/maps/dpwZD57XinJ2
Time†: 14 Oct 2017 17:31 (Central European Summer Time, UTC+02:00)
Weather: 17°C, 1028hPa, 68% humid., 11.1 km/h wind WSWmore 
Object Analysis Results
Appears in frames:790 to 915 (00:31:600 to 00:36:600 m:s:ms)
First/last appearance*:(50.365333, 12.947861)  /  (50.366528, 12.960861)
Object's direction:W to E
Passed distance:1.18km (9.37m per frame)
Traveling speed:842.9km/hReview methodology for this estimate


Data Reliability and Quality

The originator's YouTube channel provides content of video footage captured with drones or GoPros mounted on road vehicles. He is focuses on the western Czechia area and uploads a few new videos per month since September 2016. He does not provide any further UFO related content in addition to this video. The originator's email address can be found in his YouTube profile page and seems to indicate his civil name, Z. Bedus.

Due to the seeming nature of the object's movement and the the advantageous camera position, the object can be detected in at least 125 frames along a consistently smooth trajectory. The disadvantage of this camera position and object's trajectory is, for our purposes, that the possible WFM only appears very small and the footage does not provide any implications about the object's detailed shape. In frame 790 the object appears in a size of only 5×4 pixels, in frame 914 in 17×16 pixels, whereas the smear effect is very significant in the last frames.

The smear effect is consistent with the observed object's trajectory and camera angle in every observable frame. Figure 1 shows some closeup views in some of the later frames; the selection criterion for these frames are high contrast backgrounds (i.e. dark trees) and the hereby illustrated effect is consistent with all frames (see How to extract the raw data).



Fig 1. Closeups of some selected frames.

Non-Linear Trajectory

The most peculiar and interesting feature of this case is that the object seemingly flies in a curve with a large radius of several hundred meters. This curve is consistent with the avoidance of a large mountain in the linear path between the objects seeming position in the first frame and in the last frame of appearance. In other words, the object flies in a large curve around a mountain. The detailed trajectory is illustrated by the analysis provided by figure 2. My estimation of the object's trajectory of travel with reference to a satellite measured terrain topography is provided by figure 4.

Fig 2. Analysis of the object's path in the video. Every fifth frame is marked. Frame 855 is used as background. Due to drone and gimbal movement, the footage needs to be stabilized as shown and discussed by figure 3.

Since the gimbal turns the view from right to left throughout the capture of this object, the object's travel path is significantly better revealed when the footage is stabilized. A white car in the left part of the image is used for stabilization, because it provides a stable and high contrast object that is fairly close to the possible WFM. Figure 3 shows a comparison of the stabilized and unstabilized footage. However, the stabilization does not reveal the travel path with full precision and the object's alleged actual travel path and the analysis results deviate slightly. But this deviation does not effect the result that the object flies in a very noticeable curve around the mountain.

Fig 3. Unstabilized (left) and stabilized (right) footage of every fifth frame between 790 and 915 but in real time (i.e. original frame rate times five). The stabilization object is the white car in the forest's shadow on the mid-left side.


Fig 4. Estimated object's trajectory with reference to local topography. Terrain data via Google.

Speed Estimation

The footage provides good data for the estimation for the speed. As figure 1 further substantiates, the object is much faster than a bird but a white jet-propelled drone with the highest possible capability (e.g. an advanced and secret military vehicle) cannot be completely ruled out without additional data (e.g. audio). However, such a conclusion of a white and extremely fast drone—faster than any RC model plane ever publicly shown—should—needs further substantiation.

The exact travel path of the object is curved, but cannot be estimated with very high precision. Therefore a very precise speed estimation is hardly feasible. I apply the conservative approach to approximate the path linearly (figure 5). This implies that the actual speed of the object is, depending on its actual path in detail, 10%-50% faster. The good lighting condition, the seemingly high distance of the drone to the object, the well comparable hardware of the DJI Phantom 4 drone and the observed smear effect in the last frames support the view that this object might be a bit faster than 842.9 km/h.

Fig 5. Estimation of object's distance traveled (lower bound).

Appendix

Fig A.1. Distance between camera and nearest publicly available weather station at Karlovy Vary Airport.

* Geographic coordinates are given as a vector of latitudes and longitudes in format WGS 84 as used by Google maps.



 
 
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