Pixel-Wise Crowd Understanding via Synthetic Data

Object Tracking via Pixel-Wise and Block-Wise Sparse Representation

Learning Pixel-Wise Signal Energy for Understanding Semantics

Visual interpretation of events requires both an appropriate representation of change occurring in the scene and the application of semantics for differentiating between different types of change. Conventional approaches for tracking objects and modelling object dynamics make use of either temporal region-correlation or pre-learnt shape or appearance models. We propose a new pixel-level approac...

Pixel-wise object tracking

In this paper, we propose a novel pixel-wise visual object tracking framework that can track any anonymous object in a noisy background. The framework consists of two submodels, a global attention model and a local segmentation model. The global model generates a region of interests (ROI) that the object may lie in the new frame based on the past object segmentation maps; while the local model ...

Image Quality Enhancement Using Pixel Wise Gamma Correction

This paper presents a new automatic image enhancement method by modifying the gamma value of its individual pixels. Most of existing gamma correction methods apply a uniform gamma value across the image. Considering the fact that gamma variation for a single image is actually nonlinear, the proposed method locally estimates the gamma values in an image using support vector machine. First, a dat...

When is a crowd wise?

Numerous studies have established that aggregating judgments or predictions across individuals can be surprisingly accurate in a variety of domains, including prediction markets, political polls, game shows, and forecasting (see Surowiecki, 2004). Under Galton’s (1907) conditions of individuals having largely unbiased and independent judgments, the aggregated judgment of a group of individuals ...