HoG Descriptors and Bag of Words
Michael O'Brien
mob.irl at gmail.com
Sun Jul 24 11:13:30 EDT 2016
Some properties of the individual ndarray (aka HoG descriptor)
('NDarry Size', 251328)
('NDarray Number of Dimensions', 1)
('NDarray length of 1 array element in Bytes', 8)
('NDarray Total byes consumed by elements', 2010624)
('NDarray DataType', dtype('float64'))
On Sunday, 24 July 2016 14:59:04 UTC+1, Michael O'Brien wrote:
>
> Hi all,
>
> I'm new to computer vision/machine learning and I was hoping I could ask
> the community for some advise. I've calculated HoG descriptors for frames
> in a video but I'm not sure how best to group/join/??? them so I can then
> run Kmeans clustering on them. I'm hoping to use the (Visual) Bag of Words
> method to classify using random forrests but I'm a novice when it comes to
> ndarrays and not sure of the correct terminology.
>
> I know the HoG descriptors are flattened arrays but in order to cluster
> the frames/image descriptors I would need to group all the descriptors
> together. What is the best way to create a data structure suitable for
> kmeans when you have 100,000's of individual descriptors and do I need to
> pre-process the ndarrays ?
>
> Michael
>
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