Apr 5, 2016 · This paper presents a new descriptor, multi-sparse descriptor (MSD), for pedestrian detection in static images.
This paper presents a new descriptor, multi-sparse descriptor (MSD), for pedestrian detection in static images. Specifically, the proposed descriptor is based ...
Apr 5, 2016 · This paper presents a new descriptor, multi-sparse descriptor (MSD), for pedestrian detection in static images.
This paper presents a new descriptor, multi-sparse descriptor (MSD), for pedestrian detection in static images. Specifically, the proposed descriptor is ...
Multi-sparse descriptor: A scale invariant feature for pedestrian ...
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This work compares three single-dictionary strategies and two dual-dictionary strategies for the problem of pedestrian classification (“pedestrian” vs ...
2006. We present an approach for learning to detect objects in still gray images, that is based on a sparse, part-based representation of objects.
This paper presents a new descriptor, multi-sparse descriptor (MSD), for pedestrian detection in static images. Specifically, the proposed descriptor is ...
This paper presents a new descriptor, multi-sparse descriptor (MSD), for pedestrian detection in static images. Specifically, the proposed descriptor is ...
A multi-resolution DPM pedestrian detection algorithm is proposed in this paper. During the stage of model training, a resolution factor is added to a set of ...
Aug 21, 2015 · SIFT feature is a local feature descriptor that uses a difference-of-Gaussian function to identify potential interest points which are invariant ...