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Published bySilvie Bláhová Modified over 5 years ago
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-Intelligence Transport System PHHung Media IC & System Lab
Progress report (11/08) -Intelligence Transport System PHHung Media IC & System Lab
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Done (10/18) Vehicle/Pedestrian Detect Map Generate Better Quality
Camera Calibration More and more label Vehicle/Pedestrian Detect Background Modeling(MOG2) Shadow eliminate Rotated Bounding box HoG (add one more label category ) SVM Consistent Labeling (single cam) Tracking Faster GPU accelerated Map Generate From video From LIDAR Consistent Labeling (Multiple Cam)
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Demo (10/18)
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Between 10/18 ~ 11/7 Background eliminate Rotate bounding box CamShift
Kalman filter + CamShift ……When to do background modeling? & When to do tracking?
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Between 10/18 ~ 11/7 64x64 --> 128x64 64x64 64x128
Online Offline !! -> higher resolution (640x480 -> 1280x960) Generate coordinate data for belief merge Belief merge grouping detect object by position & type !! Correct rate must be higher -> require a new labeled dataset 64x > x x x128
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For 11/10 , 11/11 , 11/15 Visualization…
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