This TactiVision demo analyses Harry Kane’s penalty against Paris Saint-Germain using an automati...This TactiVision demo analyses Harry Kane’s penalty against Paris Saint-Germain using an automati...
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This TactiVision demo analyses Harry Kane’s penalty against Paris Saint-Germain using an automatic goal-confirmation pipeline. The system combines: goal keypoint estimation confidence-aware filtering goal-line geometry YOLO26s goal-mask segmentation ball detection and temporal tracking multi-frame goal confirmation Unlike standard object detection, the objective is not simply to detect the goal or the ball. The system must determine whether the ball crosses the reconstructed line inside the valid goal-mouth region. Kane scored the penalty in the 17th minute of Bayern’s Champions League semi-final first leg against PSG.
#HarryKane#BayernMunich#PSG#ChampionsLeague#FootballAI#TactiVision
Manual work is always better than ai slop you can use ai for some clips but full video made with ai is unprofessional and a waste of money and resources
New case study: motion product film for a mobile streaming app. Some shots filmed on camera, some AI generated, the rest built in After Effects
Check it out
Three peculiar stories. One wonderfully distorted reality.
A suspiciously curious cat, an eccentric family with secrets dating back to 1892, and a collection of memories coming together to tell their own STORY.
For this project, I combined surreal AI-generated visuals with manually edited camera shakes, white flashes, music synchronisation and carefully timed transitions using the InVideo Editor.
Halfway through, my AI credits ran out — so I completed the remaining effects manually.
Apparently, even artificial intelligence has a budget. 😉
Creative direction, storytelling and final editing by The Triadic Studio.