Local Detection of Occlusion Boundaries in Video
نویسندگان
چکیده
Occlusion boundaries are notoriously difficult for many patch-based computer vision algorithms, but they also provide potentially useful information about scene structure and shape. Using short video clips, we present a novel method for scoring the degree to which edges exhibit occlusion. We first utilize a spatio-temporal edge detector which estimates edge strength, orientation, and normal motion. By then extracting patches from either side of each detected (possibly moving) edglet, we can estimate and compare motion to determine if occlusion is present. This completely local, bottom-up approach is intended to provide powerful low-level information for use by higher-level reasoning methods.
منابع مشابه
Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework
We describe an approach to incorporate scene topology and semantics into pixel-level object detection and localization. Our method requires video to determine occlusion regions and thence local depth ordering, and any visual recognition scheme that provides a score at local image regions, for instance object detection probabilities. We set up a cost functional that incorporates occlusion cues i...
متن کاملA New Method for Sperm Detection in Human Semen: Combination of Hypothesis Testing and Local Mapping of Wavelet Sub-Bands
Introduction Automated methods for sperm characterization in microscopic videos have some limitations such as: low contrast of the video frames and possibility of neighboring sperms to touch each other. In this paper a new method is introduced for detection of sperms in microscopic videos. Materials and Methods In this work, first microscopic videos are captured from specimens of human semen. S...
متن کاملCombining Local Appearance and Motion Cues for Occlusion Boundary Detection
Building on recent advances in the detection of appearance edges from multiple local cues, we present an approach for detecting occlusion boundaries which also incorporates local motion information. We argue that these boundaries have physical significance which makes them important for many high-level vision tasks and that motion offers a unique, often critical source of additional information...
متن کاملBelievable Visual Feedback in Motor Learning Using Occlusion-based Clipping in Video Mapping
Gait rehabilitation systems provide patients with guidance and feedback that assist them to better perform the rehabilitation tasks. Real-time feedback can guide users to correct their movements. Research has shown that the quality of feedback is crucial to enhance motor learning in physical rehabilitation. Common feedback systems based on virtual reality present interactive feedback in a monit...
متن کاملFace Detection at the Low Light Environments
Today, with the advancement of technology, the use of tools for extracting information from video are much wider in terms of both visual power and the processing power. High-speed car, perfect detection accuracy, business diversity in the fields of medical, home appliances, smart cars, humanoid robots, military systems and the commercialization makes these systems cost effective. Among the most...
متن کامل