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Recently, Scientists needs to know the behavior of fish populations in underwater. Previously many algorithms are used but they are suffered in complex textures and low detection rate. This paper proposed a multi threading fuzzy c-mean (MFC mean) approach to detect multi-moving fishes in a noisy and dense condition. In this approach, we combines the multi threaded parallel (MTP) approach and kernel...
In this paper, we introduced an algorithm for tracking and detecting multi moving human sperm using Course Grained Multi Threading Cam Shift (CGM-CS) approach in a microscopic human sperm moving video. This method is fully based on adaptive Cam Shift algorithm using color model. This algorithm is design to track and detect the sperms by using multi threading concept. The multi threading concept is...
In this Paper, we proposed a method for tracking multi moving bacteria and white blood cell (WBC) using Multi threading parallel (MTP) concept in a microscopic blood cell video. This method is based on continuously adaptive mean shift algorithm using color model which is designed to track multi moving bacteria using multi threading concept by comparing its mean in the successive frame in the video...
In this Paper, we proposed a method for tracking multi moving bacteria and white blood cell (WBC) using Multi threading parallel (MTP) concept in a microscopic blood cell video. This method is based on continuously adaptive mean shift algorithm using color model which is designed to track multi moving bacteria using multi threading concept by comparing its mean in the successive frame in the video...
In this Paper, we proposed a method for tracking multi object using multithreading concept in a video. This method is based on continuously adaptive mean shift algorithm using color model which is designed to track multi object using multithreading concept by comparing it's mean in the successive frame of the video. It is observed that an object can be tracked in the next frame, when the mean shift...
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