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2016-01-27 05:37:02 -0600	commented answer	Fire detection using opencv I see, after having IR do you have suggestion for what ML to use. or any ML will work?
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2016-01-27 04:53:19 -0600	commented answer	Fire detection using opencv Thank you for this never thought about background being able to block the flame from the view, although I'm still looking for a way to detect fire using Machine learning in opencv
2016-01-26 13:12:08 -0600	commented question	Fire detection using opencv How is BoW different from the others?
2016-01-26 07:36:13 -0600	commented question	Fire detection using opencv Its an assignment given to us and im confused what concept to apply
2016-01-26 06:49:07 -0600	commented question	Fire detection using opencv is there any other way that uses machine learning?
2016-01-26 06:02:48 -0600	commented question	Fire detection using opencv so cascade classifier with NIR enhanced camera? no chance of detecting it using low cam like webcam?
2016-01-26 05:39:57 -0600	asked a question	Fire detection using opencv I have read a comment here http://answers.opencv.org/question/83... to using cascade classifier but isn't cascade classifier only good for rigid objects?
2016-01-25 22:29:56 -0600	commented answer	Fire/Flame Detection using OpenCV Hi sorry for late comment but, is cascade-classifier also good even though the object you are detecting is not like constant texture? I thought the viola jones only applies to objects like faces car fruits etc.
2015-12-31 17:45:31 -0600	asked a question	opencv train cascade in less than 2 hours I'm new to opencv I want to detect a fire object and I'm training a fire classifier using opencv traincascade, as I read various tutorials everyone said that training will use up days or even weeks. I have 700 positives and 3k negatives, I read that I should not use all positive to train and ratio of 1:2 in positive negative so this is what I inputted opencv_traincascade -data classifier -positive.vec -bg negatives.txt -numPos 500 -numNeg 1000 -numStages 20 -minHitRate 0.999 -maxFalseAlarmRate 0.5 -precalcValBufSize 1024\ -precalcIdxBufSize 1024 -mode ALL PAUSE the training only took 2 hours, Do I need to worry about it? is there something wrong with my samples?