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Vehicle Extraction and Speed Detection from Digital Aerial Images
- https://www.researchgate.net/publication/220821352_Vehicle_Extraction_and_Speed_Detection_from_Digital_Aerial_Images#:~:text=To%20detect%20the%20speed%2C%20firstly%20the%20vehicles%20and,two%20images%2C%20the%20moving%20speed%20can%20be%20detected.
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(PDF) Speed detection of vehicles from aerial photographs
- https://www.researchgate.net/publication/228959333_Speed_detection_of_vehicles_from_aerial_photographs
- Speed detection of vehicles from aerial photographs. January 2007; Authors: Wen Liu. ... To detect speed, firstly vehicles and shadows are extracted from two consecutive images. The corresponding ...
Speed Detection of Vehicles from Aerial Photographs
- https://www.academia.edu/51231603/Speed_Detection_of_Vehicles_from_Aerial_Photographs
- Speed Detection of Vehicles from Aerial Photographs
SPEED DETECTION OF VEHICLES FROM AERIAL PHOTOGRAPHS
- https://www.semanticscholar.org/paper/SPEED-DETECTION-OF-VEHICLES-FROM-AERIAL-PHOTOGRAPHS-Liu-Yamazaki/3f5305a25ce9b2723a7337fe0dd9390657de4eec
- Vehicles and their associated shadows can be discriminated by removing big objects such as roads. To detect speed, firstly vehicles and shadows are extracted from two consecutive images. The corresponding vehicles from the two images are then linked based on the similarity in shape and size and on the distance within a threshold.
SPEED DETECTION OF VEHICLES FROM AERIAL …
- http://ares.tu.chiba-u.jp/yamazaki/pdf/proceeding/ACRS2007_Liu.pdf
- Speed detection is carried out based on the time lag between two images. Generally, it can be done using two consecutive aerial photographs. Also, the recent observation on the time lag between QuickBird’s panchromatic and multi-spectral images, around 0.2 s, is recommended for speed detection (Etaya et al. 2004). The vehicle-and-shadow database of each image is
CiteSeerX — Speed detection of vehicles from aerial photographs
- https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.584.5579
- Vehicles and their associated shadows can be discriminated by removing big objects such as roads. To detect speed, firstly vehicles and shadows are extracted from two consecutive images. The corresponding vehicles from the two images are then linked based on the similarity in shape and size and on the distance within a threshold.
Vehicle Extraction and Speed Detection from Digital Aerial Images
- https://www.researchgate.net/publication/220821352_Vehicle_Extraction_and_Speed_Detection_from_Digital_Aerial_Images
- A new object-based method is developed to extract the moving vehicles and subsequently detect their speeds from two consecutive digital aerial images …
Vehicle Detection from Aerial Imagery - Carnegie Mellon …
- https://www.ri.cmu.edu/pub_files/2011/5/90.pdf
- method from low resolution aerial images. Hinz [6] discusses a vehicle detection system which attempts to match vehicles against a 3D-wireframe model in an adaptive top-down manner. Kim and Malik [7] introduce a faster 3D-model based detection using a probabilistic line feature grouping to increase performance and detection speed.
Vehicle Speed Detection From Aerial Images Using Deep Learning
- https://www.youtube.com/watch?v=sKGMwCUr6OQ
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Vehicle Detection on Aerial Image - IJERT
- https://www.ijert.org/research/vehicle-detection-on-aerial-image-IJERTV5IS080434.pdf
- for car detection in aerial images”. Vehicles are detected with online boosting on Haar-like features, local binary patterns and orientation histograms. They train the detector for cars in one direction and during testing they rotate the image in 15 degrees step. This detector is trained for a
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