Computer Vision - ACCV 2014 Workshops: Singapore, Singapore, - download pdf or read online

By C.V. Jawahar, Shiguang Shan

ISBN-10: 3319166271

ISBN-13: 9783319166278

ISBN-10: 331916628X

ISBN-13: 9783319166285

The three-volume set, together with LNCS 9008, 9009, and 9010, comprises conscientiously reviewed and chosen papers provided at 15 workshops held along with the twelfth Asian convention on laptop imaginative and prescient, ACCV 2014, in Singapore, in November 2014. The 153 complete papers provided have been chosen from a variety of submissions. LNCS 9008 includes the papers chosen for the Workshop on Human Gait and motion research within the Wild, the second one foreign Workshop on significant information in 3D laptop imaginative and prescient, the Workshop on Deep studying on visible info, the Workshop on Scene knowing for independent platforms and the Workshop on powerful neighborhood Descriptors for machine imaginative and prescient. LNCS 9009 comprises the papers chosen for the Workshop on rising themes on snapshot recovery and Enhancement, the 1st foreign Workshop on strong interpreting, the second one Workshop on User-Centred machine imaginative and prescient, the foreign Workshop on Video Segmentation in computing device imaginative and prescient, the Workshop: My motor vehicle Has Eyes: clever motor vehicle with imaginative and prescient know-how, the 3rd Workshop on E-Heritage and the Workshop on machine imaginative and prescient for Affective Computing. LNCS 9010 comprises the papers chosen for the Workshop on function and Similarity for laptop imaginative and prescient, the 3rd overseas Workshop on clever cellular and selfish imaginative and prescient and the Workshop on Human identity for Surveillance.

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Extra info for Computer Vision - ACCV 2014 Workshops: Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part I

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211–214. IEEE (2004) 15. : Individual recognition using gait energy image. IEEE Trans. Pattern Anal. Mach. Intell. 28, 316–322 (2006) 16. : Gait recognition using gait entropy image (2009) A New Gait-Based Identification Method Using Local Gauss Maps 17 17. : Chrono-gait image: a novel temporal template for gait recognition. , Paragios, N. ) ECCV 2010, Part I. LNCS, vol. 6311, pp. 257–270. Springer, Heidelberg (2010) 18. : Improved gait recognition by gait dynamics normalization. IEEE Trans. Pattern Anal.

1 for the illustration). We show that hand related motion features are discriminative and representative enough for human actions. V. Jawahar and S. ): ACCV 2014 Workshops, Part I, LNCS 9008, pp. 19–34, 2015. H. Do and K. Yanai Fig. 1. An example which shows that actions with objects involved may not be recognized by object detection. The video shots are from UCF-101 dataset. We can see that cello and violin look very similar, since they are in the same class of musical instruments (string instruments).

The contexts here refer to the cues captured around the hands, especially the wrists. uk/calvin/calvin upperbody detector/. Hand Detection and Tracking in Videos for Fine-Grained Action Recognition 23 was trained from the hand bounding boxes which were extended to cover the wrists. The skin detector, first, builds a skin mask based on the skin color of face(s) detected by OpenCV face detector. It then detects skin regions by fitting lines using Hough transform and finding the medial axis of the blob-shaped regions.

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Computer Vision - ACCV 2014 Workshops: Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part I by C.V. Jawahar, Shiguang Shan


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