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Showing posts with the label object tracking

Make a movie from a sequence of images (Mac)

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There are two tools I tried on a  Mac to generate a movie from a sequence of jpg images: iMovie : very complete video editor, i.e. lots of interesting features such as adding sound to your video, titles and transitions. Works on jpg and png files. However, the video encoding is a slow process if applied on too many images (e.g. more than 1000). Official website . I tested with version 10.1.8 Time Lapse Assembler : very simple interface, i.e. a lot less features than iMovie.  Works on jpg files only. Great if you are only interested in generating a simple movie from a sequence of images without adding sound, titles, or transitions to your video. Application works great when applying it on lots of images (e.g. more than 1000). Official website . I tested with version 1.5.3 Contents    1. Mini-review #1: iMovie    2. Mini-review #2: Time Lapse Assembler    3.  Use case: Time Lapse Assembler applied to security camera images...

Reading list about automated visual systems

Here is a tentative reading list about automated visual systems  (e.g. object detection, tracking, and recognition): T. Bouwmans, N. Aybat, and E. Zahzah. Handbook on  "Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing" , CRC Press, Taylor and Francis Group, May 2016: "shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications." T. Bouwmans, F. Porikli, B. Horferlin, A. Vacavant, Handbook on "Background Modeling and Foreground Detection for Video Surveillance: Traditional and Recent Approaches, Implementations, Benchmarking and Evaluation" , CRC Press, Taylor and Francis Group, June 2014:  "provides a complete overview of the concepts, algorithms, and applications related to background modeling and foreground detection." Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki,  Moving Object Detectio...