PATENT CLAIM ANALYSIS

Application Number: 16284452
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["348", "143000"]

Abstract:
Techniques are disclosed for analyzing a scene depicted in an input stream of video frames captured by a video camera. The techniques include receiving data for an object within the scene and determining whether the object has remained substantially stationary within the scene for at least a threshold period. If the object is determined to have remained stationary for at least the threshold period, a rareness score is calculated for the object to indicate a likelihood of the object being stationary to an observed degree at an observed location. The rareness score may use a learning model to take into account previous stationary and/or non-stationary behavior of objects within the scene. In general, the learning model may be updated based on observed stationary and/or non-stationary behaviors of the objects. If the rareness score meets reporting conditions, the stationary object event may be reported.

Claim (Index 21):
The apparatus of  claim 12 , wherein the rareness score is further determined based at least in part on a sum of stationary and non-stationary counts of all objects over all pixels associated with the tracking period.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 99.0
- Lexical Diversity: 1.97403
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13930190', '15636872', '13931058', '15874172', '13839587']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6832654157960705
- 35 USC 102 Novelty (BERT): 0.5337912699235601
- Combined Prediction Score: 0.6683180012088195
- Mean Citation Score: 301.933068
- Max Citation Score: 372.12274
- Similarity Product: 248.81167498003484

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test