List of Articles Mean shift

• Open Access Article
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  1 - A Hybrid Object Tracking for Hand Gesture (HOTHG) Approach based on MS-MD and its Application
  Amir Hooshang  Mazinan Jalal  Hassanian
  10.7508/jist.2015.04.008
  In the research proposed here, a hybrid object tracking approach, namely HOTHG, with its application to hand gesture recognition in American Sign Language; ASL, is realized. This is in fact proposed to track and recognize the hand gesture, in an effective manner, in lin More

  In the research proposed here, a hybrid object tracking approach, namely HOTHG, with its application to hand gesture recognition in American Sign Language; ASL, is realized. This is in fact proposed to track and recognize the hand gesture, in an effective manner, in line with the mean shift; MS, and the motion detection; MD, entitled MS/MD-based approach. The results are synchronously investigated based on these two well-known techniques in the area of object tracking to modify those obtained from the traditional ones. The MS algorithm can track the objects based on its detailed targets, so we have to specify ones, as long as the MD algorithm is not realized. In the proposed approach, the advantages of two algorithms are efficiently used to upgrade the hand tracking performance. In the first step, the MD algorithm is applied to remove a number of parts without area motion, and subsequently the MS algorithm is accurately realized for hand tracking. Finally, the present approach is carried out to eliminate the weakness of the traditional methods, which are only organized in association with the MS algorithm. The results are all carried out on Boston-104 database, where the hand gesture is tracked in better form with respect to the previous existing approaches. Manuscript profile
• Open Access Article
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  2 - Membrane Cholesterol Prediction from Human Receptor using Rough Set based Mean-Shift Approach
  Rudra Kalyan Nayak Ramamani  Tripathy Hitesh  Mohapatra Amiya  Kumar Rath Debahuti  Mishra
  10.52547/jist.27327.10.39.161
  In human physiology, cholesterol plays an imperative part in membrane cells which regulates the function of G-protein-coupled receptors (GPCR) family. Cholesterol is an individual type of lipid structure and about 90 percent of cellular cholesterol is present at plasma More

  In human physiology, cholesterol plays an imperative part in membrane cells which regulates the function of G-protein-coupled receptors (GPCR) family. Cholesterol is an individual type of lipid structure and about 90 percent of cellular cholesterol is present at plasma membrane region. Cholesterol Recognition/interaction Amino acid Consensus (CRAC) sequence, generally referred as the CRAC (L/V)-X1−5-(Y)-X1−5-(K/R) and the new cholesterol-binding domain is similar to the CRAC sequence, but exhibits the inverse orientation along the polypeptide chain i.e. CARC (K/R)-X1−5-(Y/F)-X1−5-(L/V). GPCR is treated as a biggest super family in human physiology and probably more than 900 protein genes included in this family. Among all membrane proteins GPCR is responsible for novel drug discovery in all pharmaceuticals industry. In earlier researches the researchers did not find the required number of valid motifs in terms of helices and motif types so they were lacking clinical relevance. The research gap here is that they were not able to predict the motifs effectively which are belonging to multiple motif types. To find out better motif sequences from human GPCR, we explored a hybrid computational model consisting of hybridization of Rough Set with Mean-Shift algorithm. In this paper we made comparison among our resulted output with other techniques such as fuzzy C-means (FCM), FCM with spectral clustering and we concluded that our proposed method targeted well on CRAC region in comparison to CARC region which have higher biological relevance in medicine industry and drug discovery. Manuscript profile